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FrameQuant: Flexible Low-Bit Quantization for Transformers

FrameQuant: Flexible Low-Bit Quantization for Transformers

10 March 2024
Harshavardhan Adepu
Zhanpeng Zeng
Li Zhang
Vikas Singh
    MQ
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Papers citing "FrameQuant: Flexible Low-Bit Quantization for Transformers"

3 / 3 papers shown
Title
Towards Accurate Post-Training Quantization for Vision Transformer
Towards Accurate Post-Training Quantization for Vision Transformer
Yifu Ding
Haotong Qin
Qing-Yu Yan
Z. Chai
Junjie Liu
Xiaolin K. Wei
Xianglong Liu
MQ
54
68
0
25 Mar 2023
A Comprehensive Survey on Model Quantization for Deep Neural Networks in
  Image Classification
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Babak Rokh
A. Azarpeyvand
Alireza Khanteymoori
MQ
30
84
0
14 May 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
1