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SkillsMP has collected 8 skills from Blaizzy/mlx-vlm. Open a skill to review its source and details.
Showing 8 of 8 collected skills.
Use this skill when the user wants to add or port a new model architecture to MLX-VLM — mapping a Hugging Face model_type to a new file under mlx_vlm/models, writing the ModelConfig, matching layer/weight names, reusing a similar existing model, adding a test…
Use this skill when the user wants to benchmark an MLX-VLM change and present the numbers in a PR — fork-vs-main A/B comparisons, isolated-module micro-benchmarks, median-of-N timing with warmup, peak-memory reporting, correctness checks, parameter sweeps,…
Use this skill when the user wants to run or debug MLX-VLM inference from the command line, including uv run mlx_vlm.generate, image/audio/video inputs, local model paths, Hugging Face model IDs, deterministic repro commands, and CLI errors around processors,…
Use this skill when the user wants to contribute to MLX-VLM — opening a PR, where model code/config/tests go, backward-compatible config args, running the test suite, code formatting and the pre-commit hooks (black, clang-format), and PR expectations (tests,…
Use this skill when the user wants to convert a Hugging Face model to MLX or quantize/dequantize one with mlx_vlm.convert, including bits and group size, quant modes (affine, mxfp4, nvfp4, mxfp8), RTN vs AWQ, mixed-bit recipes, dtype casts, calibration (text…
Use this skill when the user wants to list, inspect, or report MLX-VLM-supported models available in the local Hugging Face cache directory, including models shown by the server /v1/models endpoint, cache-dir overrides, JSON output, or issue-ready cached…
Use this skill when the user wants to create, improve, or triage a reproducible GitHub issue for MLX-VLM, including bug reports from CLI inference, server inference, model loading, processors, media inputs, dependency setup, crashes, wrong outputs, or…
Use this skill when the user wants to run or debug MLX-VLM server inference, including uv run mlx_vlm.server, /v1/models, /v1/chat/completions, /v1/responses, streaming, OpenAI-compatible clients, health checks, metrics, model unload/reload, adapters,…