mlx-commander is an open-source CLI and interactive terminal UI for converting Hugging Face datasets into Apple MLX formats and configuring model training. It supports local training and fine-tuning workflows for developers working with Apple Silicon.
mlx-commander is a Fine-tuning & training project. It focuses on preparing datasets and configuring local Apple MLX training and fine-tuning workflows. mlx-commander is an open-source project aimed at machine learning developers using Apple Silicon. mlx-commander is open source under the MIT license. It ships for the command line, and it can be self-hosted.
Tom Kubik builds and maintains mlx-commander, and it first shipped in 2026. The project is developed in the open on GitHub with 52 commits in the last 90 days. Among its 7 catalogued features are dataset conversion, parameter configuration, and model training. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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