QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

12 October 2023

Jing Liu

Ruihao Gong

Xiuying Wei

Zhiwei Dong

Jianfei Cai

Bohan Zhuang

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Papers citing "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models"

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Title
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li Ruokai Yin Donghyun Lee Shiting Xiao Priyadarshini Panda MQ 45 0 0 03 Apr 2025
MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration Jinguang Wang J. Wang Haifeng Sun Tingting Yang Zirui Zhuang Wanyi Ning Yuexi Yin Q. Qi Jianxin Liao MQ MoMe 44 0 0 07 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 127 79 0 21 Feb 2025
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization Mengzhao Chen Yi Liu Jiahao Wang Yi Bin Wenqi Shao Ping Luo MQ 61 1 0 28 Jan 2025
Deploying Foundation Model Powered Agent Services: A Survey Wenchao Xu Jinyu Chen Peirong Zheng Xiaoquan Yi Tianyi Tian ... Quan Wan Haozhao Wang Yunfeng Fan Qinliang Su Xuemin Shen AI4CE 112 1 0 18 Dec 2024
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens Xu Ouyang Tao Ge Thomas Hartvigsen Zhisong Zhang Haitao Mi Dong Yu MQ 90 3 0 26 Nov 2024
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference Janghwan Lee Jiwoong Park Jinseok Kim Yongjik Kim Jungju Oh Jinwook Oh Jungwook Choi 39 2 0 15 Nov 2024
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction Yuhang Li Priyadarshini Panda MQ 26 1 0 24 Oct 2024
Scaling Laws for Mixed quantization in Large Language Models Zeyu Cao Cheng Zhang Pedro Gimenes Jianqiao Lu Jianyi Cheng Yiren Zhao MQ 29 1 0 09 Oct 2024
QERA: an Analytical Framework for Quantization Error Reconstruction Cheng Zhang Jeffrey T. H. Wong Can Xiao G. Constantinides Yiren Zhao MQ 35 0 0 08 Oct 2024
LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference Zhiwen Mo Lei Wang Jianyu Wei Zhichen Zeng Shijie Cao ... Naifeng Jing Ting Cao Jilong Xue Fan Yang Mao Yang 54 4 0 12 Aug 2024
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models Mengzhao Chen Wenqi Shao Peng Xu Jiahao Wang Peng Gao Kaipeng Zhang Yu Qiao Ping Luo MQ 36 21 0 10 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 33 41 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 45 5 0 05 Jul 2024
OutlierTune: Efficient Channel-Wise Quantization for Large Language Models Jinguang Wang Yuexi Yin Haifeng Sun Qi Qi Jingyu Wang Zirui Zhuang Tingting Yang Jianxin Liao 33 2 0 27 Jun 2024
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models Jing Liu Ruihao Gong Mingyang Zhang Yefei He Jianfei Cai Bohan Zhuang MoE 37 0 0 13 Jun 2024
Low-Rank Quantization-Aware Training for LLMs Yelysei Bondarenko Riccardo Del Chiaro Markus Nagel MQ 33 8 0 10 Jun 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers Junyi Wu Haoxuan Wang Yuzhang Shang Mubarak Shah Yan Yan MQ 33 18 0 25 May 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models Akide Liu Jing Liu Zizheng Pan Yefei He Gholamreza Haffari Bohan Zhuang MQ 22 29 0 23 May 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Yefei He Luoming Zhang Weijia Wu Jing Liu Hong Zhou Bohan Zhuang MQ 35 24 0 23 May 2024
ReALLM: A general framework for LLM compression and fine-tuning Louis Leconte Lisa Bedin Van Minh Nguyen Eric Moulines MQ 31 0 0 21 May 2024
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning Dan Qiao Yi Su Pinzheng Wang Jing Ye Wen Xie ... Wenliang Chen Guohong Fu Guodong Zhou Qiaoming Zhu Min Zhang MQ 32 0 0 09 May 2024
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs Jordan Dotzel Yuzong Chen Bahaa Kotb Sushma Prasad Gang Wu Sheng R. Li Mohamed S. Abdelfattah Zhiru Zhang 21 7 0 06 May 2024
PatentGPT: A Large Language Model for Intellectual Property Zilong Bai Ruiji Zhang Linqing Chen Qijun Cai Yuan Zhong ... Fu Bian Xiaolong Gu Lisha Zhang Weilei Wang Changyang Tu 41 3 0 28 Apr 2024
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training Jaeseong You Minseop Park Kyunggeun Lee Seokjun An Chirag I. Patel Markus Nagel MQ 31 1 0 25 Apr 2024
A Survey on Efficient Inference for Large Language Models Zixuan Zhou Xuefei Ning Ke Hong Tianyu Fu Jiaming Xu ... Shengen Yan Guohao Dai Xiao-Ping Zhang Yuhan Dong Yu-Xiang Wang 46 78 0 22 Apr 2024
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases Zechun Liu Changsheng Zhao Forrest N. Iandola Chen Lai Yuandong Tian ... Ernie Chang Yangyang Shi Raghuraman Krishnamoorthi Liangzhen Lai Vikas Chandra ALM 38 68 0 22 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A Survey Wenxiao Wang Wei Chen Yicong Luo Yongliu Long Zhengkai Lin Liye Zhang Binbin Lin Deng Cai Xiaofei He MQ 36 46 0 15 Feb 2024
A Survey on Transformer Compression Yehui Tang Yunhe Wang Jianyuan Guo Zhijun Tu Kai Han Hailin Hu Dacheng Tao 26 26 0 05 Feb 2024
LQER: Low-Rank Quantization Error Reconstruction for LLMs Cheng Zhang Jianyi Cheng G. Constantinides Yiren Zhao MQ 19 8 0 04 Feb 2024
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production Chandra Irugalbandara Ashish Mahendra Roland Daynauth T. Arachchige Jayanaka L. Dantanarayana K. Flautner Lingjia Tang Yiping Kang Jason Mars ELM 21 14 0 20 Dec 2023
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 19 11 0 13 Dec 2023
SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models Zhixu Du Shiyu Li Yuhao Wu Xiangyu Jiang Jingwei Sun Qilin Zheng Yongkai Wu Ang Li Hai Helen Li Yiran Chen MoE 12 11 0 29 Oct 2023
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models Saleh Ashkboos Ilia Markov Elias Frantar Tingxuan Zhong Xincheng Wang Jie Ren Torsten Hoefler Dan Alistarh MQ SyDa 117 21 0 13 Oct 2023
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models Wenqi Shao Mengzhao Chen Zhaoyang Zhang Peng-Tao Xu Lirui Zhao Zhiqiang Li Kaipeng Zhang Peng Gao Yu Qiao Ping Luo MQ 10 173 0 25 Aug 2023
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation Z. Yao Xiaoxia Wu Cheng-rong Li Stephen Youn Yuxiong He MQ 63 56 0 15 Mar 2023
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 86 332 0 05 Jan 2021