[pull] master from mudler:master - #1408
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Add Q4_K_M and Q8_0 llama.cpp entries for the newly released Qwopus3.6-27B Fusion reasoning and coding merge, with MTP enabled. Assisted-by: Codex:gpt-5 [Hugging Face API] Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The star, fork, contributor and release counts were typed into the templates by hand, so they only moved when somebody remembered. They had already drifted: stars read 48,042 against 48,067, forks 4,314 against 4,320, and contributors 224 against 225. They move to website/data/stats.yaml, which .github/ci/refresh-site-counters.sh rewrites from the GitHub API, run weekly by a new workflow. The contributors and releases endpoints never report a total, so the script asks for one item per page and reads the count out of the Link header. It refuses to write a zero or a non-number, which is what a rate-limited or failed call looks like, and the workflow commits only when a number actually moved. The Discord count has no API behind it, so the script reads the existing value back and carries it through. The engine count was wrong in a second way. The hero said 18, the section heading said "Eighteen engines", the timeline said "Nineteen engines of our own", and the /engines/ page derived 19 from the data file. All of them now derive from that same file, so they cannot disagree again. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m]
The page reads as a list of features with nothing joining them, so two things did not land. The engines section never said these are the backends LocalAI loads. The runtime section describes a core that pulls each engine in on demand, and the engines section describes engines written from scratch, and nothing on the page connected the two sentences. Readers were taking parakeet.cpp and the rest for unrelated side projects by the same people. The lede now says whose backends they are before it says anything else. APEX was used as a known term on first appearance, in a section that opened onto a benchmark table. Nothing said what it is or why it follows the engines. It now opens by placing itself in the stack: the engine decides how fast a model runs, the weights decide whether it runs at all, and APEX is the second of those. Then the numbers. Also drops "Most backends wrap somebody else's engine. These do not", which is the machine-written antithesis shape, and fixes a list that broke its own parallel halfway through. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5[1m]
⬆️ Checksum updates in gallery/index.yaml Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Direct repository-root users to the supported make docs target and document the equivalent direct Hugo invocation from docs/. Fixes #10062 Assisted-by: Codex:gpt-5 Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
…5dc0c99dbcb40f9` (#11262) ⬆️ Update ikawrakow/ik_llama.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* feat(chat): edit saved conversation messages Add inline edit, save, and cancel controls for stored user and assistant messages without triggering inference. Preserve structured message attachments and cancel edits when streaming starts. Assisted-by: Codex:gpt-5 * test(chat): preserve seeded conversation on reload The saved-message edit test reloads the page to verify persistence, but its init script was replacing localStorage with the original fixture on every navigation. Seed only an empty store so reloads exercise the data written by the application. Assisted-by: Codex:gpt-5 [Codex] --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
…st (#10991) * feat(sycl): make the intel llama.cpp backend self-contained on any host The SYCL backend shipped an incomplete oneAPI runtime AND relied on a host-provided GPU driver, so it only ran inside the build container. On a bare host it died with "libze_loader.so.1 / libdnnl.so.3: cannot open shared object file", and even with the host's Intel driver installed it SIGSEGV'd during SYCL init when the host driver was built against a newer glibc than the backend's bundled loader (rolling-release distros). package_intel_libs now bundles the complete, coherent oneAPI runtime (the missing MKL ILP64 / sycl_blas / tbb_thread + oneDNN + the dlopen'd UR adapters, plus a sweep of the backend binaries' own direct deps) and the Intel GPU userspace driver (libze_intel_gpu + libigdrcl + IGC + gmm) with its OpenCL ICD manifest, mirroring how package_vulkan_libs bundles Mesa. run.sh points the Level Zero and OpenCL loaders at the bundled driver, and install-base-deps.sh installs it in the SYCL build image. Bundling the driver is safe across kernels because it talks to the host i915/xe via the stable DRM UAPI (unlike NVIDIA's kernel-locked userspace). Validated on Arch (glibc 2.43, i915): the backend loads and runs on an Iris Xe with no host Intel packages installed. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me> * fix(sycl): install a driver that exists, and let the user choose their own The driver install added earlier in this branch asked apt for intel-level-zero-gpu, which is not a package in Ubuntu 24.04. apt fails outright on an unknown name, so neither driver was installed, nothing was there to copy, and the images carried no driver at all. It now comes from Intel's own repository, which has 25.18 for this Ubuntu release, against 23.43 from late 2023 in the Ubuntu archive. The archive driver does not know any card released since, so a machine with a recent Intel GPU would end up carrying a driver that cannot drive it. Anything that goes wrong during that install fails the build on purpose: an unreachable repository is a passing problem that a retry fixes, while quietly carrying a different driver, or none, is a difference nobody would notice until a user reports an idle GPU. run.sh used to overwrite whatever driver the user had chosen. Level Zero uses only the driver it is given, so on a machine with a card too new for the carried driver, the GPU would go unused with no way back. Both that setting and the OpenCL one are now left alone when already set, and the docs say how to point a backend at the machine's own driver. The OpenCL setting also used to be applied whenever the backend held a driver list, even when the driver it named had not been copied, which leaves OpenCL with nothing instead of falling back to the machine's own driver. It now requires the copied driver to be present, and the packaging leaves out the list entry of any driver it did not copy. The oneAPI images list a processor-only OpenCL library, which was being carried with nothing behind it. Two more corrections in the packaging. The scan for libraries a program is linked against only looked at files named llama-cpp-*, so turboquant and bonsai, which are also built for Intel GPUs, were left with the incomplete set of libraries this branch set out to fix; it now looks at every program in the directory. And a build that should carry a driver but ends up without one now says so, which is what a stale prebuilt base image looks like: such a backend still runs on a machine that has its own driver, so nothing fails and the only other symptom is a user reporting an idle GPU. Backends now also ask the driver to report how much graphics memory is free, without which llama.cpp reads zero on an integrated GPU, since such a chip shares the system memory instead of having its own. turboquant and bonsai get the same run.sh handling as llama.cpp. The driver is only carried by the builds that start through run.sh, because run.sh is what points Level Zero and OpenCL at it. The Python backends for Intel GPUs start differently and would never load it, so they keep using the machine's own driver rather than carrying several hundred megabytes they cannot use. Checked in a container on Ubuntu 24.04: the install brings driver 25.18 with the files where the packaging expects them, an unreachable repository fails the build, and the copied set resolves on its own once the machine's Intel packages are moved away. Assisted-by: Claude:claude-opus-5 Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me> * fix(ci): rebuild every Linux backend when the GPU packaging script changes scripts/build/package-gpu-libs.sh decides which GPU libraries end up inside an image. The filter that builds the backend matrix listed it as an input of the Python images only, so changing it rebuilt no Go and no C++ backend, even though those run it from their own package.sh. A packaging fix aimed at the Intel llama.cpp backend could merge and reach no image, which is the same failure this rule was written to prevent. Assisted-by: Claude:claude-opus-5 Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me> * fix(sycl): carry only the driver Level Zero uses, not the OpenCL one llama.cpp reaches an Intel GPU through Level Zero, which hands the driver programs that are already compiled and so needs only the back end of the graphics compiler. The OpenCL driver can be handed source code instead, so it needs the compiler's front end as well, and that arrives with its own copy of clang. Carrying it cost about 139 MB in every backend built for Intel GPUs, and took the carried set from 123 MB to 261 MB. Nothing here takes that path. No LocalAI code selects an OpenCL device, each backend image holds one backend, and the documentation never described OpenCL as a way to run models: the only mentions are a stale clblas row in the BUILD_TYPE table, for a llama.cpp backend that no longer exists and that no build matrix entry uses, and the sycl-ls troubleshooting hint. Before this branch the packaging carried the OpenCL loader and adapter but no driver, so the path could not work in a released image either. There is nobody to keep working. The driver list that OpenCL reads is no longer carried, and run.sh no longer sets OCL_ICD_VENDORS, so OpenCL inside a container keeps using whatever the image provides rather than being pointed at a directory with no driver in it. Checked in a container against the real 25.18 driver: the carried set is 123 MB with nothing unresolved, and Level Zero still reports the GPU with the machine's own Intel packages moved out of the way. Neither the Level Zero driver nor the compiler back end names the front end or clang among the libraries it opens by name, so the leaner set is complete for this path. Assisted-by: Claude:claude-opus-5 Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me> --------- Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me> Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
…7dd78db066ed8b9a` (#11260) ⬆️ Update localai-org/rf-detr.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
…69faa18e8d8da` (#11264) ⬆️ Update CrispStrobe/CrispASR Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
…245a7157ac882` (#11263) ⬆️ Update ggml-org/whisper.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
…e7385c891b` (#11261) ⬆️ Update 0xShug0/audio.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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