MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
MLX-VLM is a Python package for running inference and fine-tuning vision-language models, which process images and text together, on Mac computers using MLX. It is used by developers working with multimodal models and includes command-line, web, server, scripting, and training workflows.
Plugin Claude Code
Bundles 8 skills · 584 tokens together
Skills for MLX-VLM: command-line and server inference, convert/quantize, adding new models, benchmarking, contributing, cached-model listing, and reproducible GitHub issues.