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Improving Quantization with Post-Training Model Expansion
21 March 2025
Giuseppe Franco
Pablo Monteagudo-Lago
Ian Colbert
Nicholas J. Fraser
Michaela Blott
MQ
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Papers citing
"Improving Quantization with Post-Training Model Expansion"
5 / 5 papers shown
Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos
Haoyu Zhang
Shihao Zhang
Ian Colbert
Rayan Saab
MQ
274
7
0
06 Aug 2025
Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization
Shihao Zhang
Haoyu Zhang
Ian Colbert
Rayan Saab
MQ
416
10
0
16 May 2025
Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs
Lucas Maisonnave
Cyril Moineau
Olivier Bichler
Fabrice Rastello
MQ
537
1
0
18 Apr 2025
SpinQuant: LLM quantization with learned rotations
International Conference on Learning Representations (ICLR), 2024
Zechun Liu
Changsheng Zhao
Igor Fedorov
Bilge Soran
Dhruv Choudhary
Raghuraman Krishnamoorthi
Vikas Chandra
Yuandong Tian
Tijmen Blankevoort
MQ
726
321
0
21 Feb 2025
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
Zechun Liu
Changsheng Zhao
Hanxian Huang
Sijia Chen
Jing Zhang
...
Yuandong Tian
Bilge Soran
Raghuraman Krishnamoorthi
Tijmen Blankevoort
Vikas Chandra
MQ
564
24
0
04 Feb 2025
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