Detecting a Route Flip Is Easier Than Knowing Whether to Fix It: Causal Route-Mediated Damage in Quantized Mixture-of-Experts
Overview
FAQ
What is a route flip in mixture-of-experts models?
It is a change in which experts are activated due to a small numerical disturbance (like quantization), altering the computation path and affecting performance.
How does KV-cache quantization affect MoE models?
Quantization can push the router across decision boundaries, flipping selected experts, causing additional damage that is not easily fixable.
Can harmful flips be detected and distinguished from helpful ones?
The study found that detecting a flip is possible (AUC 0.772), but no local statistic can distinguish harmful from helpful flips.
Why does this matter for regional model developers?
It implies that improving quantization requires addressing routing stability, not just weight precision, especially when deploying large models with limited resources.
Source: arXiv cs.AI
AI-assisted content, human-reviewed.