E^3-Pruner: A Novel Approach for Efficient Layer Pruning in Large Language Models

This research paper introduces E^3-Pruner, a method aimed at optimizing large language models through layer pruning. The focus on efficiency, economy, and effectiveness suggests a practical approach to reducing computational costs and improving model performance.

• •Focuses on improving the efficiency of large language models.
• •Employs layer pruning as a key optimization technique.
• •Aims to reduce computational costs while maintaining or improving performance.