SAAP scores LLM structures with a weighted fusion of two importance measures, prunes the most volatile units, and recovers performance with grouped quantized low-rank fine-tuning.
A survey on large language models: Applications challenges limitations and practical usage,
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Adaptive Pruning for Large Language Models with Structural Importance Awareness
SAAP scores LLM structures with a weighted fusion of two importance measures, prunes the most volatile units, and recovers performance with grouped quantized low-rank fine-tuning.