MLX: An array framework for Apple silicon

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Examples in the MLX framework

Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

Run LLMs with MLX

Examples using MLX Swift

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

A MLX port of FLUX and other state of the art diffusion image models based on the Huggingface Diffusers implementation.

Native Apple Silicon LLM server on MLX with chat UI, menu bar app, and CLI. OpenAI & Ollama compatible. Supports Apple Foundation Models.

Swift API for MLX

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

LM Studio Apple MLX engine

🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.

MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.

Implementation of F5-TTS in MLX

Solve Puzzles. Learn Metal 🤘

Optimized Whisper models for streaming and on-device use

Turn your AirPods into a posture coach on iOS (alpha)

Semantic Image Search CLI tool.