One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models

Rongguang Ye, Ming Tang

Existing pruning methods for large language models (LLMs) focus on achieving high compression rates while maintaining model performance. Although these methods have demonstrated sa…