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Hugging FacePedro Cuenca, Lysandre, Victor Mustar, Julien Chaumond, Jun KimAnnouncement
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Summary
Jun Kim, creator and maintainer of oMLX, has joined Hugging Face to support the MLX community. MLX is Apple’s framework for local AI, optimized for Apple Silicon, and Hugging Face is the Hub for MLX models. oMLX, staying Apache 2.0, will gain stability and faster development as a funded, maintained project, allowing Jun to guide contributors and build for the long term. The goal is to unblock the community to run local AI in any form, with oMLX serving as a testbed leveraging dependencies like mlx-lm and mlx-vlm, and collaborating with projects such as LMStudio. A key focus is streamlining the transition from transformers model definitions to reference MLX implementations for different engines, so each can focus on unique features.
Context
Hugging Face is deepening its commitment to local AI by supporting MLX, Apple’s framework optimized for Apple Silicon, and integrating oMLX to streamline the transition from transformers model definitions to MLX implementations, aiming to unblock the community for running local AI in any form.
Takeaways
Jun Kim joins Hugging Face to maintain oMLX as a fully funded project under Apache 2.0.
Hugging Face aims to use oMLX as a testbed for new ideas and upstream improvements to dependencies like mlx-lm and mlx-vlm.
A key focus is creating a streamlined pipeline from transformers model definitions to reference MLX implementations for multiple inference engines.
FAQ
Will oMLX remain open source?
Yes, the post states that oMLX stays under the Apache 2.0 license, and Jun Kim continues to lead it as before.
What benefit does Jun joining Hugging Face bring?
oMLX will gain stability and faster development, as it transitions from a side job to a fully maintained and funded project, allowing Jun to guide contributors and build for the long term.
Which projects will Hugging Face collaborate with?
Hugging Face hopes to strengthen relationships with projects like mlx-lm, mlx-vlm, and LMStudio, working with teams led by Cheng, Prince, and Yagil.
Source and freshness
- Source
- huggingface.co
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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