Fengwei An

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation

Large language models (LLMs) have demonstrated outstanding performance in various tasks, such as text summarization, text question-answering, and etc. While their performance is impressive, the computational footprint due to their vast number of parameters can be prohibitive. Existing solutions such…