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# Gemma 4 QAT Gemma 4 QAT (Quantization-Aware Training) is Google DeepMind’s new Gemma 4 variants designed to **reduce memory requirements while preserving model quality**. This makes it possible to run larger models, such as **Gemma 4 26B-A4B**, locally on consumer GPUs with as little as **16GB of RAM**. Gemma 4 QAT is trained with quantization in mind, allowing 4-bit format to have \~**72% lower memory usage** with **near original performance**. 2 special mobile quants of E2B and E4B are ...