Different calibration objectives produce distinct layer pruning patterns in LLMs, while search algorithms converge to similar solutions under a fixed objective.
Determining layer-wise sparsity for large language models through a theoretical perspective
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Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning
Different calibration objectives produce distinct layer pruning patterns in LLMs, while search algorithms converge to similar solutions under a fixed objective.