Building a Nested LADDER for LLM Unstructured Post-Training Pruning
arXiv:2610.28773v1 Announce Type: new Abstract: Non-uniform allocation can improve post-training pruning of large language models, yet quality can still degrade sharply at high sparsity. To control degradation as sparsity increases, we introduce LADDER (Layer-Wise Allocation via Damage-Driven Evalu…
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- 2026-10-22 04:00 · arXiv cs.LG
Building a Nested LADDER for LLM Unstructured Post-Training Pruning