MLX: An array framework for Apple silicon

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.

Examples using MLX Swift

A MLX port of FLUX based on the Huggingface Diffusers implementation.

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

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

Swift API for MLX

Run LLMs with MLX

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

Apple MLX engine for LM Studio

Solve Puzzles. Learn Metal 🤘

Implementation of F5-TTS in MLX

Semantic Image Search CLI tool.

Super simple MLX (apple silicon) CLIP based photo similarity web app

Codam's own fixed, functioning and open source alternative of the miniLibX. MLX42 is a simple cross-platform graphics library running on GLFW and OpenGL.

Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.

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.

Generate accurate transcripts using Apple's MLX framework