RepQuant: Towards Accurate Post-Training Quantization of Large
Transformer Models via Scale Reparameterization

RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization

8 February 2024

Qingyi Gu

Papers citing "RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization"

9 / 9 papers shown

Title
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model Jing Zhang Z. Li Qingyi Gu MQ VLM 43 0 0 09 Mar 2025
CacheQuant: Comprehensively Accelerated Diffusion Models Xuewen Liu Zhikai Li Qingyi Gu DiffM 25 0 0 03 Mar 2025
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare Zhikai Li Jing Zhang Qingyi Gu MedIm 28 0 0 14 Sep 2024
DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers Lianwei Yang Haisong Gong Qingyi Gu MQ 19 2 0 06 Aug 2024
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers Yanfeng Jiang Ning Sun Xueshuo Xie Fei Yang Tao Li MQ 18 2 0 03 Jul 2024
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey Dayou Du Gu Gong Xiaowen Chu MQ 24 5 0 01 May 2024
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 44 66 0 25 Mar 2023
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers Zhikai Li Mengjuan Chen Junrui Xiao Qingyi Gu ViT MQ 37 31 0 13 Sep 2022
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li Qingyi Gu MQ 38 94 0 04 Jul 2022