Jun Kim, the developer behind oMLX, an open-source project for local AI on Apple Silicon, has joined Hugging Face. This transition is intended to provide dedicated support and resources for the continued development and maintenance of oMLX.
With Kim's full-time role at Hugging Face, oMLX is expected to gain stability and accelerate its development. The project will continue under an Apache 2.0 license, with Kim retaining leadership. This move aims to foster a healthier ecosystem for local AI tools.
Hugging Face plans for oMLX to serve as a testbed for new ideas, building upon existing dependencies like mlx-lm and mlx-vlm. The collaboration also seeks to strengthen relationships with other projects and teams in the MLX community.
A key focus area for this collaboration is to simplify the process of converting transformer model definitions into MLX implementations. The goal is to make it easier for new transformer models to run on MLX, allowing different engines to concentrate on their unique features.
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Jun Kim, the creator and maintainer of oMLX, has joined Hugging Face to continue leading and developing the oMLX project. This move aims to provide more stability and faster development for oMLX, an open-source project focused on local AI optimized for Apple Silicon.