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Open-Source AIHugging Face BlogPublished: Sep 22, 2026, 16:00 JST

Hugging Face hires oMLX creator Jun Kim

Hugging Face hires oMLX creator Jun Kim

3 Key Points

  1. What happened

    Hugging Face announced that Jun Kim, creator and maintainer of oMLX, is joining its team, allowing oMLX to move from a side job to a fully maintained and funded project while staying Apache 2.0.

  2. Why it matters

    This is expected to bring stability and possibly faster development to oMLX, letting Kim better guide contributors and build for the long term.

  3. What to watch

    Hugging Face says it wants oMLX to serve as a testbed for new ideas and to streamline turning transformers model definitions into reference MLX implementations that different engines can use.

WHO IT HITSDevelopers and teams running local AI models on Apple Silicon, especially those using or contributing to oMLX, gain a more stable, funded project, while MLX engine and library maintainers may see a faster path from model definitions to MLX implementations.

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Context & Analysis

Hugging Face frames its decision as a continuation of support it has shown for MLX since the framework arrived as a Christmas present from Awni and Angelos in 2023. It calls itself the Hub where people find MLX models and contribute their own, and it describes open, local AI usage as accelerating.

The arrangement is unusual in that oMLX keeps its Apache 2.0 license and its existing lead, even as it gains funding and maintenance. Hugging Face expects oMLX to try out new ideas while building on dependencies such as mlx-lm and mlx-vlm, and it says it would like to upstream work wherever that makes sense. It also notes existing collaboration with projects including mlx-lm, mlx-vlm, and LMStudio, and hopes to strengthen ties with Cheng, Prince, Yagil, and their teams.

What this ultimately changes for the wider MLX ecosystem may hinge on how quickly the planned pipeline from transformers model definitions to reference MLX implementations takes shape, and on whether the strengthened relationships with other engine and library teams translate into shared work.

FAQ
What happens to oMLX now that Jun Kim is joining Hugging Face?
oMLX graduates from a side job to a fully maintained and funded project, and Jun keeps leading it as before. It stays Apache 2.0.
Why does Hugging Face care about MLX?
Hugging Face says MLX is Apple's framework for local AI, especially optimized for Apple Silicon, and it is a central piece of the local AI ecosystem Hugging Face supports.
What concrete work is planned for MLX?
One focus area is quickly turning a transformers model definition into a reference MLX implementation that different engines can consume. Hugging Face also expects oMLX to act as a testbed for new ideas.
Hugging Face BlogRead Original Article

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