PRIME: Frequency-Aware Unified Pruning and Merging for MoE Compression
arXiv:2610.13982v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models have emerged as an effective paradigm for scaling large language models, yet their massive parameter footprint poses severe memory challenges for deployment. Existing compression methods typically treat expert pruning a…
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- 2026-10-14 04:00 · arXiv cs.LG
PRIME: Frequency-Aware Unified Pruning and Merging for MoE Compression