Compressing LLMs with MoP: Mixture of Pruners

Bruno Lopes Yamamoto, Lucas Lauton de Alcantara, Victor Zacarias +7

The high computational demands of Large Language Models (LLMs) motivate methods that reduce parameter count and accelerate inference. In response, model pruning emerges as an effec…