PRIME: Frequency-aware unified pruning and merging for MoE compression
Read the original at arxiv.org→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...
Original headline: "PRIME: Frequency-Aware Unified Pruning and Merging for MoE Compression"
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- Oct 14, 04:00 UTC arXiv cs.LG lead source PRIME: Frequency-Aware Unified Pruning and Merging for MoE Compression