This Hugging Face repository provides an AWQ 8-bit quantized Gemma 4 26B instruction-tuned language model. It is intended for developers and machine learning practitioners deploying text generation locally or through compatible inference infrastructure.
In the Quantised & converted weights space, Gemma 4 26B A4B It takes a focused approach. It focuses on running a smaller, quantized Gemma language model on local hardware or inference infrastructure. Gemma 4 26B A4B It is an open-source project aimed at developers and machine learning practitioners. The project is open source (Open Source). Gemma 4 26B A4B It is available on the web, the command line, and API, and it can be self-hosted.
It is developed by cyankiwi. The category is crowded — PulseGate's index counts 25 comparable projects. Among its 5 catalogued features are text generation, instruction tuning, and AWQ quantization.
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