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Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization

arXiv cs.CL · 2026-08-14 缓存

This paper introduces Sniper, a two-stage structured pruning framework for LLMs that uses binary knapsack optimization to unify depth and width pruning, achieving near-exact compression ratio adherence and improved performance retention across multiple architectures.

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