Gemma 4 QAT benchmark results (AMD 7900 XTX): faster, less VRAM, no quality loss
A user on Reddit's r/LocalLLaMA shared benchmark results for Gemma 4 models, specifically comparing Quantization-Aware Training (QAT) versions against standard quantized models on an AMD 7900 XTX GPU. The tests indicated that Gemma 4 QAT models offer significant speed improvements and reduced VRAM usage without any discernible loss in output quality. For instance, the 12B QAT model was 45% faster and used 5.7GB less VRAM than its Q8_0 counterpart, while also improving constraint-following tasks. AI
IMPACT Quantization-aware training shows promise for improving local LLM performance and accessibility.