Wenliang Pan

An Efficient Pruner for Large Language Model with Theoretical Guarantee

Large Language Models (LLMs) have showcased remarkable performance across a range of tasks but are hindered by their massive parameter sizes, which impose significant computational and storage demands. Pruning has emerged as an effective solution to reduce model size, but traditional methods often i…