mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) and Omni Models on your Mac using MLX
Our Take
Finally someone built a VLM stack that actually works on Apple Silicon — mlx-vlm handles both inference AND fine-tuning locally, which is the move. The thinking budget feature for reasoning models is low-key clever, and the Gradio chat UI means you can demo without cloud services, which privacy-conscious devs have been quietly demanding. At 3.7k GitHub stars it's clearly filling a real gap for Mac developers who want multimodal AI without GPU overhead.
Provides inference and fine-tuning capabilities for Vision Language Models and Omni Models (with audio and video support) on Apple Mac hardware using Apple's MLX framework
Key Facts
The people behind mlx-vlm
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