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.

forgellm

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

textpolicy

Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA

vimlm

AI Copilot for Vim/NeoVim

strands-mlx

Experimental: MLX model provider for Strands Agents - Build, train, and deploy AI agents on Apple Silicon.

mlx-serve

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

mlx-triage

Stop guessing why your MLX model outputs garbage. Triage in 30 seconds — no model load required.

mlx-guided-grpo

Guided Group Relative Policy Optimization (GRPO) training for MLX on Apple Silicon