The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.
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Open models & inferenceml-explore
mlx
Apple's array framework for its own chips: a NumPy- and PyTorch-like interface that uses the Mac's unified memory. The base for running and training models on a Mac.
Who it is for
For Apple Silicon Mac owners who run and train models locally.
How to start
- Install on macOS:
pip install mlx. - Work through the quick start guide from the Quickstart section of the docs.
- For CUDA on Linux use
pip install mlx[cuda], for CPUpip install mlx[cpu].
Steps are taken from the README. Check the current version in the repository before running them.
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+371Sep 6 — Oct 6
Author's description
MLX: An array framework for Apple silicon
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