gemma-4-26b-a4b-qat

Gemma 4 26B A4B QAT

Gemma 4 26B A4B QAT is the Quantization-Aware Training version of Gemma 4 26B A4B. It aims to keep quality close to bfloat16 while using much less memory to load the model.

Gemma 4 is an open multimodal model family from Google DeepMind. It supports text and image input, text output, reasoning, long context, system prompts, and native tool use.

Gemma 4 26B A4B uses an efficient architecture for scalable local deployment. The QAT build helps make that setup lighter to load while keeping the same model family behavior.