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LocalAI/docs
mudler's LocalAI [bot]andEttore Di Giacinto a0f50b2af2 feat(vllm-cpp): serve MiniMax-H3 video+audio generation (#11424)
* feat(vllm-cpp): serve MiniMax-H3 video+audio generation

vllm.cpp's C ABI grew a video slice (ABI v12): a second engine handle
loaded from the MiniMax-H3 checkpoint SET, one blocking generate, and a
composed ffmpeg argv the caller execs. This wires that into LocalAI's
existing /video endpoint, so `vllm-cpp` now serves both text and video
and a clip comes back as an MP4 with a real audio track rather than a
silent render.

The video engine is a separate handle rather than a mode of the text
one because H3 is not a model directory: the DiT, the text encoder and
two VAEs are separate artifacts, and vllm.cpp has the two loaders refuse
each other's checkpoints. `Load` takes the video branch when the config
declares any of the video options; `parameters.model` is the DiT and the
rest of the set is named in `options:`.

Three details are worth calling out because getting them wrong is
expensive:

- The partition is DECLARED, not detected. The community quantisations
  strip the release metadata and the FL2VA and Ref2VA DiTs are
  byte-structurally identical, so the engine refuses to generate until
  it is told which it has. Worse, a mismatch does not fail cleanly: a
  reference passed to an FL2VA DiT renders for hours and returns a
  coloured lattice over the frame. The backend refuses that combination
  up front instead.
- ffmpeg comes from the host. libvllm writes frames plus a WAV and
  composes the mux argv, then spawns nothing - that process boundary is
  upstream's decision. The backend execs it, the same arrangement
  vibevoice-cpp uses for transcoding, and ffmpeg also converts a
  start_image upload into the binary PPM at the exact output canvas the
  engine requires.
- It is slow. Roughly 176 s per denoise step at the default 1344x768
  canvas on a 20-SM device, so the 50-step default is a multi-hour job.
  Nothing on this path imposes a deadline.

The /video endpoint no longer forces 512x512 when the request omits the
geometry. Every video backend already supplies its own default for a
zero (512x512 for stablediffusion-ggml, 1280x720 for diffusers, 832x480
for longcat-video, 1344x768 for H3), so the hardcoded value only ever
overrode the model's trained canvas with one three of the four were
never trained at.

Moving the engine pin from ABI v10 to v16 also grows the text
vllm_model_params mirror by the v14 device field and the v16 KV-sizing
knobs. LocalAI sets none of them - 0 is the pre-v14 engine byte for byte
- but the struct SIZE is part of the layout contract, so leaving them
out would have vllm_engine_load read past the allocation.

Gallery: `minimax-h3-fl2va-q4` installs the Q4_K_M FL2VA set (~40 GB
across five weight files plus the two VAE configs that carry the latent
statistics).

Assisted-by: Claude:claude-opus-5 golangci-lint yamllint go-vet

* fix(vllm-cpp): unbreak the Darwin build at the new engine pin

src/capi/vllm_c.cpp opens one `extern "C" {` for the whole ABI surface,
so file-local helpers declared inside it inherit C linkage. The video
slice added one that returns std::string, which Apple Clang reports as
-Wreturn-type-c-linkage and vllm.cpp's target-local -Werror turns into a
build failure. GCC and upstream Clang do not diagnose it, so only the
metal-darwin-arm64 job saw it.

Suppress it the same way this Makefile already suppresses Apple Clang's
-Wgnu-folding-constant on the Metal build. The helper is never called
across the boundary so the warning describes no hazard here, but it is a
real upstream wart: the fix belongs in vllm.cpp, hoisting the helper
above the extern "C" block, and this flag should go when a pin carrying
that fix lands.

Assisted-by: Claude:claude-opus-5

* fix(vllm-cpp): patch the engine clone instead of the warning flag

The -Wno-return-type-c-linkage added in the previous commit does nothing.
vllm_cpp_set_warnings adds `-Wall -Wextra -Werror` as PRIVATE target
options, so they land after anything CMAKE_CXX_FLAGS contributes, and
-Wall re-enables the -Wreturn-type group that -Wreturn-type-c-linkage
belongs to. The darwin job failed again on the same line, which is the
evidence: a consumer cannot wave this off from outside the engine.

Position is the only fix, so carry it as a patch against the pinned SHA,
the way longcat-video patches its own upstream. It hoists the helper
above the `extern "C" {` that gives it C linkage; it is file-local and
never called across the boundary, so nothing else moves.

`git apply` is unguarded on purpose: a patch that stops applying must
fail the clone loudly, because the alternative is a pin that silently
ships without a fix it is documented to carry. The patch header names
what retires it - a pin carrying the fix upstream, where it belongs.

Verified by applying the patch with `git apply` to the exact blob at the
pinned SHA and diffing the result against the intended file.

Assisted-by: Claude:claude-opus-5

* chore(vllm-cpp): bump the engine pin to ABI v17 and drop the vendored OrEmpty patch

The OrEmpty linkage fix this backend carried as patches/0001-* landed upstream
(mudler/vllm.cpp#195, 7534da65), so the patch has done its job. It is deleted
rather than left in place: the Makefile applies patches/*.patch unguarded and
documents that "a patch that no longer applies must FAIL the clone", so keeping
it against fixed source would break the build the moment the pin moved. Bumping
the pin and deleting the patch therefore have to be the SAME change.

Pin f921062b -> 776c56f1 (current vllm.cpp main).

That range also carries the engine's ABI v17 (vllm_server_main: the OpenAI server
published on the public surface). registerLib compares the library's
vllm_abi_version against `abiVersion` for EXACT equality, so the constant moves
16 -> 17 in the same commit or every load fails with an ABI mismatch.

The bump is safe for the layout assertions in video_test.go: diffing include/vllm.h
across the two pins shows zero struct-field changes -- v17 adds one function
declaration, the version macro and a doc comment, nothing else -- so every
unsafe.Offsetof in the video params test still holds.

Assisted-by: Claude Code:claude-opus-5 [ClaudeCode]

* chore(vllm-cpp): re-pin to pick up the VLLM_CPP_SERVER=OFF link fix

The previous pin carried vllm.cpp's ABI v17 (vllm_server_main) but not the guard
that makes it link when the server is compiled out. This backend builds libvllm
with VLLM_CPP_SERVER off, so the darwin lane failed at the dylib link with
vllm::entrypoints::openai::VllmServerMain undefined.

Fixed upstream in mudler/vllm.cpp#202: the C entry point is now guarded, so the
symbol is still exported (ABI v17 stays resolvable for dlopen) while the
no-server arm reports the missing capability instead of dragging in a translation
unit that was never compiled.

Verified upstream in BOTH arms before re-pinning: SERVER=ON builds and runs, and
SERVER=OFF configures, links, produces libvllm.so, and `nm -D` shows
vllm_server_main exported next to vllm_video_generate and vllm_transcribe.

Assisted-by: Claude Code:claude-opus-5 [ClaudeCode]

---------

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-08-09 22:34:51 +02:00
..

LocalAI website

LocalAI documentation website

Requirement

In this project, the Docsy theme component is pulled in as a Hugo module, together with other module dependencies:

$ hugo mod graph
hugo: collected modules in 566 ms
hugo: collected modules in 578 ms
github.com/google/docsy-example github.com/google/docsy@v0.5.1-0.20221017155306-99eacb09ffb0
github.com/google/docsy-example github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/twbs/bootstrap@v4.6.2+incompatible
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/FortAwesome/Font-Awesome@v0.0.0-20220831210243-d3a7818c253f

If you want to do SCSS edits and want to publish these, you need to install PostCSS

npm install

Running the website locally

Building and running the site locally requires a recent extended version of Hugo. You can find out more about how to install Hugo for your environment in our Getting started guide.

From the LocalAI repository root, run:

make docs

The Hugo configuration lives in the docs directory. To invoke Hugo directly instead, run:

cd docs
hugo server

Running a container locally

You can run docsy-example inside a Docker container, the container runs with a volume bound to the docsy-example folder. This approach doesn't require you to install any dependencies other than Docker Desktop on Windows and Mac, and Docker Compose on Linux.

  1. Build the docker image

    docker-compose build
    
  2. Run the built image

    docker-compose up
    

    NOTE: You can run both commands at once with docker-compose up --build.

  3. Verify that the service is working.

    Open your web browser and type http://localhost:1313 in your navigation bar, This opens a local instance of the docsy-example homepage. You can now make changes to the docsy example and those changes will immediately show up in your browser after you save.

Cleanup

To stop Docker Compose, on your terminal window, press Ctrl + C.

To remove the produced images run:

docker-compose rm

For more information see the Docker Compose documentation.

Troubleshooting

As you run the website locally, you may run into the following error:

➜ hugo server

INFO 2021/01/21 21:07:55 Using config file: 
Building sites … INFO 2021/01/21 21:07:55 syncing static files to /
Built in 288 ms
Error: Error building site: TOCSS: failed to transform "scss/main.scss" (text/x-scss): resource "scss/scss/main.scss_9fadf33d895a46083cdd64396b57ef68" not found in file cache

This error occurs if you have not installed the extended version of Hugo. See this section of the user guide for instructions on how to install Hugo.

Or you may encounter the following error:

➜ hugo server

Error: failed to download modules: binary with name "go" not found

This error occurs if you have not installed the go programming language on your system. See this section of the user guide for instructions on how to install go.