Some Transformers processors used by MLX-VLM, including Qwen vision models, import both PyTorch and Torchvision. Include them in the Metal backend environment so model loading does not fail with missing-library errors.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Blaizzy/mlx-vlm git HEAD bumped its constraint to mlx>=0.31.2, but
mlx-cuda-12 and mlx-cuda-13 are only published up to 0.31.1 on PyPI.
Since mlx[cudaXX]==0.31.2 forces a sibling wheel that doesn't exist,
pip backtracks through every older mlx[cudaXX], none of which satisfy
mlx>=0.31.2, producing ResolutionImpossible.
Pin all variants to the v0.4.4 tag (mlx>=0.30.0), which resolves
cleanly against mlx[cuda13]==0.31.1. cpu/mps weren't broken yet but
are pinned for consistency.
Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
