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 is a Foundation models & chat product. It focuses on running large instruction-tuned language models efficiently on Apple silicon using MLX. Gemma 4 26B A4B It is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and API.
Behind Gemma 4 26B A4B It is LM Studio Community, and the product 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 tools. Among its 4 catalogued features are Instruction Tuning, Quantized Model, and MLX Framework.
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