OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

25 August 2023

Yu Qiao

Ping Luo

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Papers citing "OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models"

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Title
Semantic Retention and Extreme Compression in LLMs: Can We Have Both? Stanislas Laborde Martin Cousseau Antoun Yaacoub Lionel Prevost MQ 71 0 0 12 May 2025
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization Yamato Arai Yuma Ichikawa MQ 85 0 0 13 Apr 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping Ning Ding Jing Han Yuchuan Tian Chao Xu Kai Han Yehui Tang MQ 120 0 0 10 Mar 2025
SpinQuant: LLM quantization with learned rotations Zechun Liu Changsheng Zhao Igor Fedorov Bilge Soran Dhruv Choudhary Raghuraman Krishnamoorthi Vikas Chandra Yuandong Tian Tijmen Blankevoort MQ 198 111 0 21 Feb 2025
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis Jiaqi Zhao Ming Wang Miao Zhang Yuzhang Shang Xuebo Liu Yaowei Wang Min Zhang Liqiang Nie MQ 137 1 0 18 Feb 2025
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache Rishabh Tiwari Haocheng Xi Aditya Tomar Coleman Hooper Sehoon Kim Maxwell Horton Mahyar Najibi Michael W. Mahoney Kemal Kurniawan Amir Gholami MQ 83 2 0 05 Feb 2025
ParetoQ: 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 128 9 0 04 Feb 2025
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment Binrui Zeng Shezheng Song Xiaodong Liu Jie Yu Huijun Liu Jun Ma Xiaopeng Li Shasha Li Xinran Hong Yongtao Tang MQ 84 1 0 24 Dec 2024
FlatQuant: Flatness Matters for LLM Quantization Yuxuan Sun Ruikang Liu Haoli Bai Han Bao Kang Zhao ... Lu Hou Chun Yuan Xin Jiang Wen Liu Jun Yao MQ 104 7 0 12 Oct 2024
Mixture Compressor for Mixture-of-Experts LLMs Gains More Wei Huang Yue Liao Jianhui Liu Ruifei He Haoru Tan Shiming Zhang Hongsheng Li Si Liu Xiaojuan Qi MoE 72 4 0 08 Oct 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 100 53 0 09 Jul 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Xingrun Xing Boyan Gao Zheng Zhang David A. Clifton Shitao Xiao Li Du Guoqi Li Jiajun Zhang 92 5 0 05 Jul 2024
BoA: Attention-aware Post-training Quantization without Backpropagation Junhan Kim Ho-Young Kim Eulrang Cho Chungman Lee Joonyoung Kim Yongkweon Jeon MQ 74 0 0 19 Jun 2024
LCQ: Low-Rank Codebook based Quantization for Large Language Models Wen-Pu Cai Wu-Jun Li Wu-Jun Li MQ 86 0 0 31 May 2024
OAC: Output-adaptive Calibration for Accurate Post-training Quantization Ali Edalati Alireza Ghaffari M. Asgharian Lu Hou Boxing Chen Vahid Partovi Nia V. Nia MQ 113 0 0 23 May 2024
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models Wei Huang Haotong Qin Yangdong Liu Yawei Li Qinshuo Liu Xianglong Liu Luca Benini Michele Magno Shiming Zhang Xiaojuan Qi MQ 107 19 0 23 May 2024
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving Chengyue Wu Haotian Tang Shang Yang Zhekai Zhang Guangxuan Xiao Chuang Gan Song Han 121 93 0 07 May 2024
An empirical study of LLaMA3 quantization: from LLMs to MLLMs Wei Huang Xingyu Zheng Xudong Ma Haotong Qin Chengtao Lv Hong Chen Jie Luo Xiaojuan Qi Xianglong Liu Michele Magno MQ 89 42 0 22 Apr 2024
CBQ: Cross-Block Quantization for Large Language Models Xin Ding Xiaoyu Liu Zhijun Tu Yun-feng Zhang Wei Li ... Hanting Chen Yehui Tang Zhiwei Xiong Baoqun Yin Yunhe Wang MQ 83 16 0 13 Dec 2023
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs Yuxin Zhang Lirui Zhao Mingbao Lin Yunyun Sun Yiwu Yao Xingjia Han Jared Tanner Shiwei Liu Rongrong Ji SyDa 65 42 0 13 Oct 2023
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models Jing Liu Ruihao Gong Xiuying Wei Zhiwei Dong Jianfei Cai Bohan Zhuang MQ 52 53 0 12 Oct 2023
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models Peng Xu Wenqi Shao Kaipeng Zhang Peng Gao Shuo Liu Meng Lei Fanqing Meng Siyuan Huang Yu Qiao Ping Luo ELM MLLM 65 169 0 15 Jun 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 332 4,298 0 09 Jun 2023
Geometric-aware Pretraining for Vision-centric 3D Object Detection Linyan Huang Huijie Wang J. Zeng Shengchuan Zhang Liujuan Cao Junchi Yan Hongyang Li 3DPC 102 9 0 06 Apr 2023
RPTQ: Reorder-based Post-training Quantization for Large Language Models Zhihang Yuan Lin Niu Jia-Wen Liu Wenyu Liu Xinggang Wang Yuzhang Shang Guangyu Sun Qiang Wu Jiaxiang Wu Bingzhe Wu MQ 73 85 0 03 Apr 2023
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models Xiuying Wei Yunchen Zhang Xiangguo Zhang Ruihao Gong Shanghang Zhang Qi Zhang F. Yu Xianglong Liu MQ 80 151 0 27 Sep 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Tim Dettmers M. Lewis Younes Belkada Luke Zettlemoyer MQ 80 650 0 15 Aug 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers Z. Yao Reza Yazdani Aminabadi Minjia Zhang Xiaoxia Wu Conglong Li Yuxiong He VLM MQ 114 477 0 04 Jun 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation Zechun Liu Kwang-Ting Cheng Dong Huang Eric P. Xing Zhiqiang Shen MQ 70 107 0 29 Nov 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 125 435 0 10 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 441 2,093 0 31 Dec 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 80 577 0 22 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,127 0 23 Oct 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 217 1,517 0 24 May 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 802 0 21 Feb 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 62 949 0 16 May 2018
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 308 2,854 0 26 Sep 2016