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.
Gemma 4 E2b It is a Quantised & converted weights project. It focuses on running the Gemma 4 model efficiently on Apple silicon using the MLX framework. Gemma 4 E2b It is an open-source project aimed at 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.
Behind Gemma 4 E2b It is mlx-community. PulseGate's similarity index places it among 8 comparable projects. Key capabilities include 4-bit Quantization, MLX Optimized, and Instruction Tuned.
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