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 Machine Learning Research Platform designed for frontier AI/ML workflows. Local, on-prem, or in the cloud. Open source.

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

The missing macOS LLM server. Run local or cloud models with OpenAI & Anthropic compatible APIs. MCP server for Cursor & Claude Desktop, menu bar chat, plugins, and dev tools. Native Apple Silicon.

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.

Swift API for MLX

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

AirPods as posture coach on iOS

LM Studio Apple MLX engine

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

Optimized Whisper models for streaming and on-device use

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 🤘

Semantic Image Search CLI tool.