AI RESEARCH
GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
arXiv CS.AI
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ArXi:2604.19398v1 Announce Type: new Large language models (LLMs) are expensive to serve because model parameters, attention computation, and KV caches impose substantial memory and latency costs. We present GRASPrune, a structured pruning framework applied after pre