Gemma 4 QAT Q4_0 Bench on Strix Halo

In three linesGemma 4 QAT Q4_0 benchmark on Strix Halo APU via llama.cpp Vulkan/RADV. Models tested: 12B (6.50 GiB), 26B-A4B (13.45 GiB), 31B (16.44 GiB). QAT preserves original model behavior better than post-training quantization. QAT assistant heads converted to GGUF for improved acceptance.

Summary generated by Claude — human-verified