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On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Fuente: arXiv
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Bibliographic Details
Main Authors: Lab, Mind, :, Cao, Song, Cao, Vic, Chen, Kaijie, Fan, Bunny, Feng, Hera, Feng, Huan, Fu, Arthur, Gao, Jun, Gu, Hongquan, Guan, Aaron, Hong, Mutian, Hou, Hailee, Hua, Peixuan, Huang, Charles, Jiang, Miles, Jiang, Nora, Jiang, Yuyi, Jin, Autumn, Kong, Fancy, Lei, Kyrie, Li, Alexy, Li, Dawn, Li, Ray, Li, Theo, Li, Wenhao, Lin, Jiayi, Liu, Domini, Liu, Heshan, Liu, Kairus, Liu, Logan, Luo, Maeve, Lv, Runism, Ma, Pony, Niu, Verity, Qiu, Anson, Wang, Vincent, Yao, Maxwell, Ye, Regis, Ye, Wenlin, Ye, Yanying, Ying, Josh, Zeng, Danney, Zhan, Salmon, Zhang, Anya, Zhang, Ruijia, Zhang, Shiyang, Zhang, Sueky, Zhang, Ya, Zhao, Wei, Zhou, Ada, Zhou, Sizer, Zhu, Xinyue, Zhuang, Murphy
Format: Preprint
Published: 2026
Subjects:
Machine Learning
Computation and Language
Online Access:
Acceder al recurso
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