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mlx-vlm
Python

mlx-vlm

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

by Blaizzy · GitHub
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apple-siliconflorence2ideficsMITPythonSelf-hostable
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In plain words

Run and improve Vision Language Models on your Mac, including those that support audio and video.

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📈 Star history
5.4k5.1k
2026-07-042026-08-31
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📄 About

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

mlx-vlm has 5.4k stars on GitHub. It has been forked 753 times. mlx-vlm is written mainly in Python. It has been in active development since 2024. mlx-vlm is available under the MIT license. Its main topics are apple-silicon, florence2, idefics, llava.

Frequently asked questions

What is mlx-vlm?

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

Is mlx-vlm open source?

mlx-vlm is an open-source project. It is released under the MIT license.

Is mlx-vlm free?

Yes. mlx-vlm is free and open source — you can use, modify and self-host it.

What license does mlx-vlm use?

mlx-vlm is available under the MIT license.

What language is mlx-vlm written in?

mlx-vlm is written mainly in Python.

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