Mlx Python Packages

einops

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

mlx-lm

Run LLMs with MLX

mlx

MLX: An array framework for Apple silicon

mlx-metal

MLX: An array framework for Apple silicon

mlx-vlm

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

mlx-whisper

Examples in the MLX framework

mlx-audio

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.

transformerlab

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

mflux

MLX native implementations of state-of-the-art generative image models

vmlx

vMLX - Home of JANG_Q - Cont Batch, Prefix, Paged, KV Cache Quant, VL - Powers MLX Studio. Image gen/edit, OpenAI/Anth

mlx-cpu

MLX: An array framework for Apple silicon

llmfit

Hundreds of models & providers. One command to find what runs on your hardware.

rapid-mlx

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

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-cuda-13

MLX: An array framework for Apple silicon

transformerlab-cli

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

mlx-tune

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

jang

JANG — GGUF for MLX. YOU MUST USE JANG_Q RUNTIME. Adaptive Mixed-Precision Quantization + Runtime for Apple Silicon

llm-autotune

Zero-config local LLM optimization for Ollama, LM Studio, and Apple Silicon MLX. Reduces TTFT by 40%, wall time for local agents by 46%, and RAM usage by 3x.

mlx-cuda-12

MLX: An array framework for Apple silicon

f5-tts-mlx

Implementation of F5-TTS in MLX

vocos-mlx

Implementation of 'Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis', in MLX

seeklink

SeekLink — hybrid semantic search for markdown vaults. Four-channel RRF fusion, MLX reranker, native CJK support. Fully local.

mlx-cuda

A framework for machine learning on Apple silicon.