This is a community-converted 4-bit quantized version of Gemma-4-E2B-it optimized for the MLX framework on Apple devices. It provides an instruction-tuned large language model that can run locally with reduced memory requirements. The model is intended for developers using the MLX ecosystem.
Gemma 4 E2B It sits in PulseGate's Quantised & converted weights category. It focuses on running the Gemma 4 instruction-tuned model efficiently on Apple silicon hardware using MLX. Gemma 4 E2B It is an open-source project aimed at developers. Gemma 4 E2B It is open source under the MIT license. It runs on the web, the command line, and API.
Behind Gemma 4 E2B It is lmstudio-community, and it first shipped in 2024. The project is developed in the open on GitHub with 5.2k stars and 419 commits in the last 90 days. It competes in a saturated segment with 25 similar projects in PulseGate's index. Among its 3 catalogued features are Instruction Tuned, Quantized LLM, and MLX Optimized.
Summary written by a language model from the project’s public pages.
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