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  • ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
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ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization

Fuente: arXiv
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Bibliographic Details
Main Authors: Liu, Zechun, Zhao, Changsheng, Huang, Hanxian, Chen, Sijia, Zhang, Jing, Zhao, Jiawei, Roy, Scott, Jin, Lisa, Xiong, Yunyang, Shi, Yangyang, Xiao, Lin, Tian, Yuandong, Soran, Bilge, Krishnamoorthi, Raghuraman, Blankevoort, Tijmen, Chandra, Vikas
Format: Preprint
Published: 2025
Subjects:
Machine Learning
Artificial Intelligence
Computation and Language
Computer Vision and Pattern Recognition
Online Access:
Acceder al recurso
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Internet

https://arxiv.org/abs/2502.02631

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