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What happens if I push all of nixpkgs
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1.8 kB · 99 lines
Nix
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# build-system setuptools,
# dependencies datasets, fastapi, mlx, mlx-lm, numpy, opencv-python, pillow, requests, scipy, soundfile, tqdm, transformers, uvicorn,
# tests psutil, pytestCheckHook, rich,}:
buildPythonPackage rec { pname = "mlx-vlm"; version = "0.3.3"; pyproject = true;
src = fetchFromGitHub { owner = "Blaizzy"; repo = "mlx-vlm"; tag = "v${version}"; hash = "sha256-KhppKqIJPmtjgSXSC3n5HTMm3fDUJaoYJEiGfQ5vGNQ="; };
build-system = [ setuptools ];
pythonRelaxDeps = [ "opencv-python" ]; dependencies = [ datasets fastapi mlx mlx-lm numpy opencv-python pillow requests scipy soundfile tqdm transformers uvicorn ];
pythonImportsCheck = [ "mlx_vlm" ];
nativeCheckInputs = [ psutil pytestCheckHook rich ];
disabledTests = [ # Fatal Python error: Aborted # mlx_vlm/models/multi_modality/vision.py", line 174 in __call__ "test_multi_modality"
# RuntimeError: [metal_kernel] No GPU back-end "test_glm4v_moe" "test_kimi_vl" ];
disabledTestPaths = [ # ImportError: cannot import name 'get_class_predicate' from 'mlx_vlm.utils' # This function is indeed not exposed by `mlx_vlm.utils` "mlx_vlm/tests/test_utils.py"
# fixture 'model_path' not found "mlx_vlm/tests/test_smoke.py" ];
meta = { description = "Inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX"; homepage = "https://github.com/Blaizzy/mlx-vlm"; changelog = "https://github.com/Blaizzy/mlx-vlm/releases/tag/v${version}"; license = lib.licenses.mit; maintainers = with lib.maintainers; [ GaetanLepage ]; };}