ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
通过动态结构剪枝将密集大语言模型转换为专家混合架构
机构 * Department of Computer Science, Florida State University(佛罗里达州立大学计算机科学系) ; Department of Computer Science and Engineering, University of Notre Dame(圣母大学计算机科学与工程系) ; Department of Computer Science, University of Maryland, College Park(马里兰大学学院市计算机科学系) ; Samsung Research America(三星美国研究机构) ; Department of Computer Science, University of Central Florida(中央佛罗里达大学计算机科学系) ; Department of Health Outcomes and Biomedical Informatics, University of Florida(佛罗里达大学健康结果与生物医学信息学系)
AI总结 通过动态结构剪枝将密集大语言模型转换为专家混合架构,提升模型效率与性能。