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308 changes: 308 additions & 0 deletions gallery/index.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -2600,6 +2600,103 @@
- filename: llama-cpp/mmproj/qwen3.5-9b-defiant-fable/mmproj-BF16.gguf
uri: huggingface://DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF/mmproj-BF16.gguf
sha256: 853698ce7aa6c7ba732478bad280240969ddf7b0fcbf93900046f63903a83383
- &qwen3-8-27b-cold-fusion
name: "qwen3.8-27b-cold-fusion-q4-mtp"
variants:
- model: qwen3.8-27b-cold-fusion-q8-mtp
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1
- https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF
description: |
Qwen3.8 27B Cold Fusion is an Apache-2.0 multimodal fine-tune for
reasoning, coding, creative writing, and roleplay. This entry uses the
publisher's NEO-imatrix Q4_K_M GGUF with multi-token prediction enabled.
It supports vision through the shared BF16 projector and a native 256K
context window.
license: apache-2.0
tags:
- llm
- gguf
- cpu
- gpu
- qwen3.8
- reasoning
- coding
- creative-writing
- vision
- multimodal
- mtp
last_checked: "2026-08-27"
overrides:
backend: llama-cpp
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
- vision
mmproj: llama-cpp/mmproj/qwen3.8-27b-cold-fusion/mmproj-BF16.gguf
options:
- use_jinja:true
- spec_type:draft-mtp
- spec_n_max:6
- spec_p_min:0.75
parameters:
min_p: 0.0
model: llama-cpp/models/qwen3.8-27b-cold-fusion/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf
repeat_penalty: 1.0
temperature: 1.0
top_k: 20
top_p: 0.95
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/qwen3.8-27b-cold-fusion/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf
uri: huggingface://DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf
sha256: db466a9432a52b87a7b7560f432f0e1caafeb111dbe3d168acf74dfe143a637c
- filename: llama-cpp/mmproj/qwen3.8-27b-cold-fusion/mmproj-BF16.gguf
uri: huggingface://DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF/mmproj-BF16.gguf
sha256: 734916669e61e798d2af7cdbff50ef7b1520b66993b69089bb883048cc048929
- !!merge <<: *qwen3-8-27b-cold-fusion
name: "qwen3.8-27b-cold-fusion-q8-mtp"
variants: []
description: |
Qwen3.8 27B Cold Fusion in the higher-quality NEO-imatrix Q8_0 GGUF
format. Multi-token prediction is enabled, and the shared BF16 projector
provides vision support.
overrides:
backend: llama-cpp
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
- vision
mmproj: llama-cpp/mmproj/qwen3.8-27b-cold-fusion/mmproj-BF16.gguf
options:
- use_jinja:true
- spec_type:draft-mtp
- spec_n_max:6
- spec_p_min:0.75
parameters:
min_p: 0.0
model: llama-cpp/models/qwen3.8-27b-cold-fusion/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-NEO-MTP-Q8_0.gguf
repeat_penalty: 1.0
temperature: 1.0
top_k: 20
top_p: 0.95
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/qwen3.8-27b-cold-fusion/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-NEO-MTP-Q8_0.gguf
uri: huggingface://DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-NEO-MTP-Q8_0.gguf
sha256: e78d3087059cc7280fbae60b551f6be0a2fdcd0afea8d5d28283b06878172a81
- filename: llama-cpp/mmproj/qwen3.8-27b-cold-fusion/mmproj-BF16.gguf
uri: huggingface://DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF/mmproj-BF16.gguf
sha256: 734916669e61e798d2af7cdbff50ef7b1520b66993b69089bb883048cc048929
- &qwen3-8-2b-distill
name: "qwen3.8-2b-distill-q4"
variants:
Expand Down Expand Up @@ -8569,6 +8666,8 @@
- model: lfm2.5-8b-a1b-ud-q5-k-m
- model: lfm2.5-8b-a1b-ud-q6-k
- model: lfm2.5-8b-a1b-q8-0
- model: lfm2.5-8b-a1b-dspark
- model: lfm2.5-8b-a1b-q8-dspark
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF
Expand Down Expand Up @@ -8601,6 +8700,109 @@
- filename: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q8_0.gguf
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF/resolve/main/LFM2.5-8B-A1B-Q8_0.gguf
sha256: 33ab3b8ce6a964fb8ebac89360c9b3cf72c4fa418d5e4c0a94d46883124d5c02
- name: "lfm2.5-8b-a1b-dspark"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF
description: |
LFM2.5-8B-A1B with LiquidAI's DSpark speculative drafter. This build pairs
the Q4_K_M target with the compact Q4_K_M draft sidecar for lower-memory
hosts. DSpark proposes blocks of tokens that the target model verifies,
which preserves the target model's output while accelerating generation.
license: "other"
tags:
- llm
- gguf
- reasoning
- cpu
- gpu
- dspark
icon: https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/qUZVGkns1bg3sZUShBbhv.png
overrides:
backend: llama-cpp
context_size: 131072
draft_model: llama-cpp/models/LFM2.5-8B-A1B-DSpark-GGUF/LFM2.5-8B-A1B-DSpark-Q4_K_M.gguf
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
options:
- use_jinja:true
- spec_type:draft-dspark
- spec_n_max:10
- spec_n_min:0
parameters:
min_p: 0.15
model: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q4_K_M.gguf
repeat_penalty: 1.05
temperature: 0.1
top_k: 50
top_p: 0.1
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q4_K_M.gguf
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF/resolve/main/LFM2.5-8B-A1B-Q4_K_M.gguf
sha256: 4923ec14f06b968b74d663e5949867d2d9c3bf13a20b8be1a9f9af39989b2bb0
- filename: llama-cpp/models/LFM2.5-8B-A1B-DSpark-GGUF/LFM2.5-8B-A1B-DSpark-Q4_K_M.gguf
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF/resolve/main/LFM2.5-8B-A1B-DSpark-Q4_K_M.gguf
sha256: 017278ec4409671890f2722a690a52dba59f5f02eff604f0c1e79cf52f7c4ae8
- name: "lfm2.5-8b-a1b-q8-dspark"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF
description: |
LFM2.5-8B-A1B with LiquidAI's DSpark speculative drafter. This build pairs
the higher-quality Q8_0 target with the recommended F16 draft sidecar for
the best acceptance length. DSpark proposes blocks of tokens that the
target model verifies, which preserves the target model's output while
accelerating generation.
license: "other"
tags:
- llm
- gguf
- reasoning
- cpu
- gpu
- dspark
icon: https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/qUZVGkns1bg3sZUShBbhv.png
overrides:
backend: llama-cpp
context_size: 131072
draft_model: llama-cpp/models/LFM2.5-8B-A1B-DSpark-GGUF/LFM2.5-8B-A1B-DSpark-F16.gguf
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
options:
- use_jinja:true
- spec_type:draft-dspark
- spec_n_max:10
- spec_n_min:0
parameters:
min_p: 0.15
model: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q8_0.gguf
repeat_penalty: 1.05
temperature: 0.1
top_k: 50
top_p: 0.1
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q8_0.gguf
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF/resolve/main/LFM2.5-8B-A1B-Q8_0.gguf
sha256: 33ab3b8ce6a964fb8ebac89360c9b3cf72c4fa418d5e4c0a94d46883124d5c02
- filename: llama-cpp/models/LFM2.5-8B-A1B-DSpark-GGUF/LFM2.5-8B-A1B-DSpark-F16.gguf
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-DSpark-GGUF/resolve/main/LFM2.5-8B-A1B-DSpark-F16.gguf
sha256: a73be221783d3e832016c73945640fd81376f5de7a250025fd67a536435ce4b6
- name: "qwopus3.5-9b-coder-mtp"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
Expand Down Expand Up @@ -16341,6 +16543,112 @@
- filename: antares-1b-q8_0.gguf
sha256: f0b147c42d9056d59eb3f0ab51d4d57a2259bf1b4e37ae986ef96a6c2e0ac6b7
uri: huggingface://mitkox/antares-1b-Q8_0-GGUF/antares-1b-q8_0.gguf
- &granite-4-2-3b-vllm
name: "granite-4.2-3b:vllm"
variants:
- model: granite-4.2-8b:vllm
- model: granite-4.2-30b:vllm
url: "github:mudler/LocalAI/gallery/vllm.yaml@master"
urls:
- https://huggingface.co/ibm-granite/granite-4.2-3b
description: |
Granite 4.2 3B is IBM's compact dense reasoning model for code generation,
tool calling, agentic workflows, multilingual chat, and long-context tasks.
This entry serves the bfloat16 safetensors with vLLM and supports a
128K-token context. It is the smallest fallback in a family that also offers
the higher-capacity 8B and 30B checkpoints as variants.
license: apache-2.0
icon: https://cdn-avatars.huggingface.co/v1/production/uploads/639bcaa2445b133a4e942436/CEW-OjXkRkDNmTxSu8Egh.png
tags:
- llm
- vllm
- gpu
- granite
- granite-4.2
- 3b
- reasoning
- code
- function-calling
- agentic
- multilingual
- long-context
- instruction-tuned
last_checked: "2026-08-29"
overrides:
context_size: 131072
options:
- reasoning_parser:granite
- tool_parser:qwen3_coder
parameters:
model: ibm-granite/granite-4.2-3b
temperature: 1
top_p: 0.95
- !!merge <<: *granite-4-2-3b-vllm
name: "granite-4.2-8b:vllm"
variants: []
urls:
- https://huggingface.co/ibm-granite/granite-4.2-8b
description: |
Granite 4.2 8B is IBM's mid-sized dense reasoning model for code generation,
tool calling, agentic workflows, multilingual chat, and long-context tasks.
This entry serves the higher-capacity bfloat16 safetensors with vLLM and
supports a 128K-token context.
tags:
- llm
- vllm
- gpu
- granite
- granite-4.2
- 8b
- reasoning
- code
- function-calling
- agentic
- multilingual
- long-context
- instruction-tuned
overrides:
context_size: 131072
options:
- reasoning_parser:granite
- tool_parser:qwen3_coder
parameters:
model: ibm-granite/granite-4.2-8b
temperature: 1
top_p: 0.95
- !!merge <<: *granite-4-2-3b-vllm
name: "granite-4.2-30b:vllm"
variants: []
urls:
- https://huggingface.co/ibm-granite/granite-4.2-30b
description: |
Granite 4.2 30B is IBM's largest dense Granite 4.2 reasoning model for code
generation, tool calling, agentic workflows, multilingual chat, and
long-context tasks. This entry serves the bfloat16 safetensors with vLLM and
supports a 128K-token context.
tags:
- llm
- vllm
- gpu
- granite
- granite-4.2
- 30b
- reasoning
- code
- function-calling
- agentic
- multilingual
- long-context
- instruction-tuned
overrides:
context_size: 131072
options:
- reasoning_parser:granite
- tool_parser:qwen3_coder
parameters:
model: ibm-granite/granite-4.2-30b
temperature: 1
top_p: 0.95
- name: ibm-granite_granite-4.0-h-small
url: github:mudler/LocalAI/gallery/granite4.yaml@master
urls:
Expand Down
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