A Single 3090 Can Run Gemma 3 27B! Google Releases Full Line of QAT Versions for Gemma 3 Models

Run Gemma 3 27B on a single RTX 3090! Google's QAT-optimized models slash VRAM needs, enabling local AI on consumer GPUs.

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Just one month after the launch of Google’s Gemma 3, a new version has already been released.

This version has been optimized with Quantization-Aware Training (QAT), significantly reducing memory requirements while maintaining high quality.

For example, after QAT optimization, the VRAM usage of Gemma 3 27B can be drastically reduced from 54GB to 14.1GB, making it fully capable of running locally on consumer-grade GPUs like the NVIDIA RTX 3090!