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// Run models locally

mlxv0.32.3

MLX: An array framework for Apple silicon

Open source Maintained For developers

Official site ↗ GitHub ↗

IN ONE PARAGRAPH

mlx is MLX: An array framework for Apple silicon.

Good for: Developers and teams who want to run models locally.

01How to start

  1. 1Read the official quick-start (link above).
  2. 2Install from the official package registry: brew install mlxpip install mlx
  3. 3Try it on a small example before wiring it into a project.

Homebrew: mlxPyPI: mlx

02Alternatives & comparison

Compare side by side →
Ollama Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. ★ 184k llama.cpp LLM inference in C/C++ ★ 132k vllm A high-throughput and memory-efficient inference and serving engine for LLMs ★ 95k mlx-examples Examples in the MLX framework ★ 9.0k mlx-vlm MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX. ★ 5.6k

03Related

Versions, why it is listed, for AI to read

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For AI agents

Data updated: AI software & hot ranks · Software profiles & needs(UTC+8)