Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models

In three linesVSRAQ, a post-training quantization method for Mixture-of-Experts models, preserves expert selection during quantization by aligning routing values and top-k decision boundaries. Reduces quantization-induced degradation with no inference overhead.

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