This is a community-quantized 8-bit MLX version of Google's Gemma 4 26B instruction-tuned model. It is optimized for local inference on Apple devices using the MLX framework and is available for download from Hugging Face.
Gemma 4 26B A4B It sits in PulseGate's Quantised & converted weights category. It focuses on running large instruction-tuned models efficiently on Apple silicon hardware. It is built as an open-source project for developers. The project is open source (MIT). It ships for the web, the command line, and API.
Behind Gemma 4 26B A4B It is LM Studio Community, and it first shipped in 2024. The project is developed in the open on GitHub with 5.2k stars and 418 commits in the last 90 days. PulseGate's similarity index places it among 8 comparable projects. Key capabilities include Instruction Tuned, quantized, and MLX Format.
Summary written by a language model from the project’s public pages.
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