2024
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
ICML 2024poster
Large language models (LLMs) have proven to be highly effective across various natural language processing tasks. However, their large number of parameters poses significant challenges for practical deployment. Pruning, a technique aimed at reducing the size and complexity of LLMs, offers a potentia…