This is a community-quantized 4-bit version of Gemma 4 (E2B-IT) optimized for the MLX machine learning framework. It enables efficient local inference on Apple devices. The model supports standard chat templates and is distributed via Hugging Face.
In the Foundation models & chat space, Gemma 4 E2b It takes a focused approach. It focuses on running the Gemma 4 model efficiently on Apple silicon using the MLX framework. It is built as an open-source project for developers building on Apple hardware. Gemma 4 E2b It is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by mlx-community. It operates in a well-populated space: PulseGate tracks 8 similar tools. Key capabilities include 4-bit Quantization, MLX Optimized, and Instruction Tuned.
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