Qwen3.6-35B-A3B · every expert gets the bit width it earns English · 简体中文 A MoE model doesn't activate all of its experts equally often. Some get called constantly, some barely at all — yet a normal quantization gives every expert the same bit width anyway. So the routed experts get quantized by how often they actually fire in real tasks: high frequency keeps more bits, low frequency gets squeezed. Noise on this corpus runs ±0.029, so honestly these two measure the same. The difference is what the middle and cold tiers get to keep. 14 chunks × 512 tokens, -t 20, same machine throughout: Balanced dipping under F16 isn't a real win — 0.002 is well inside the noise. The part worth looking at…