This is a 4-bit quantized version of Google's Gemma 4 26B instruction-tuned (it) model, optimized for the MLX framework on Apple hardware. It is designed for local inference with reduced memory footprint while maintaining performance. The model is hosted on Hugging Face and is part of the LM Studio community collection.
Gemma 4 26B A4B It sits in PulseGate's Quantised & converted weights category. It focuses on running large instruction-tuned language models efficiently on Apple silicon using MLX. It is built as an open-source project for developers. Gemma 4 26B A4B It is open source under the MIT license. It runs on 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 5 comparable projects. Key capabilities include Instruction Tuning, Quantized Model, and MLX Framework.
Summary written by a language model from the project’s public pages.
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