Mlx Lm Python Packages

mlx-openai-server

A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface.

mlx-code

Git-Native Coding Agent for Mac

mlx-model-doctor

Validate an MLX / Hugging Face model repository before you load it.

mlx-quant-fidelity

Measure MLX quantization quality loss — KL divergence, perplexity, top-token agreement for KV cache and weights

textpolicy

Reinforcement learning for text generation on MLX (Apple Silicon)

forgellm

A comprehensive toolkit for end-to-end continued pre-training, fine-tuning, monitoring, testing and publishing of language models with MLX-LM

vimlm

VimLM - LLM-powered Vim assistant

strands-mlx

Use MLX in Strands Agents

mlx-serve

Local inference server for Apple Silicon that hot-swaps MLX models (LLM, vision, embeddings, TTS, STT) via OpenAI-compatible API

mlx-triage

MLX Inference Quality Diagnostic Toolkit

metal-guard

GPU safety layer for MLX on Apple Silicon — prevents kernel panics from Metal driver bugs, includes community-curated KNOWN_PANIC_MODELS registry

mlx-guided-grpo

Train reasoning models on your Mac. GRPO training framework for Apple Silicon with curriculum learning.