4 citations · 5 across the 2 of their papers we have counts for
1 paper · 1 filter
Keisuke Kamahori, Tian Tang, Yile Gu +2
Large Language Models (LLMs) with the Mixture-of-Experts (MoE) architectures have shown promising performance on various tasks. However, due to the huge model sizes, running them i…