Quantizzazione-Aware Training (QAT)

Training that simulates quantization during training, so the model learns to work with low-precision weights. Unlike post-training quantization (applied cold, e.g. Q4_K_M), QAT preserves much more quality at the same bit width. Google released official QAT checkpoints for the Gemma 4 family in June 2026.