SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

18 November 2022

Song Han

Papers citing "SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models"

50 / 526 papers shown

Title
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Shuming Ma Hongyu Wang Lingxiao Ma Lei Wang Wenhui Wang Shaohan Huang Lifeng Dong Ruiping Wang Jilong Xue Furu Wei MQ 45 203 0 27 Feb 2024
Massive Activations in Large Language Models Mingjie Sun Xinlei Chen J. Zico Kolter Zhuang Liu 60 68 0 27 Feb 2024
A Comprehensive Evaluation of Quantization Strategies for Large Language Models Renren Jin Jiangcun Du Wuwei Huang Wei Liu Jian Luan Bin Wang Deyi Xiong MQ 25 30 0 26 Feb 2024
LLM Inference Unveiled: Survey and Roofline Model Insights Zhihang Yuan Yuzhang Shang Yang Zhou Zhen Dong Zhe Zhou ... Yong Jae Lee Yan Yan Beidi Chen Guangyu Sun Kurt Keutzer 37 79 0 26 Feb 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs Ziheng Jiang Haibin Lin Yinmin Zhong Qi Huang Yangrui Chen ... Zhe Li X. Jia Jia-jun Ye Xin Jin Xin Liu LRM 38 100 0 23 Feb 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 74 0 22 Feb 2024
FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing Xiao-Yang Liu Jie Zhang Guoxuan Wang Weiqin Tong Anwar Elwalid 31 4 0 21 Feb 2024
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models Chenyang Song Xu Han Zhengyan Zhang Shengding Hu Xiyu Shi ... Chen Chen Zhiyuan Liu Guanglin Li Tao Yang Maosong Sun 48 24 0 21 Feb 2024
A Survey on Knowledge Distillation of Large Language Models Xiaohan Xu Ming Li Chongyang Tao Tao Shen Reynold Cheng Jinyang Li Can Xu Dacheng Tao Tianyi Zhou KELM VLM 42 98 0 20 Feb 2024
Is It a Free Lunch for Removing Outliers during Pretraining? Baohao Liao Christof Monz MQ 21 1 0 19 Feb 2024
OneBit: Towards Extremely Low-bit Large Language Models Yuzhuang Xu Xu Han Zonghan Yang Shuo Wang Qingfu Zhu Zhiyuan Liu Weidong Liu Wanxiang Che MQ 51 36 0 17 Feb 2024
BitDelta: Your Fine-Tune May Only Be Worth One Bit James Liu Guangxuan Xiao Kai Li Jason D. Lee Song Han Tri Dao Tianle Cai 31 20 0 15 Feb 2024
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference Taesu Kim Jongho Lee Daehyun Ahn Sarang Kim Jiwoong Choi Minkyu Kim Hyungjun Kim 14 2 0 15 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
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers Junhan Kim Kyungphil Park Chungman Lee Ho-Young Kim Joonyoung Kim Yongkweon Jeon MQ 15 1 0 14 Feb 2024
Towards Meta-Pruning via Optimal Transport Alexander Theus Olin Geimer Friedrich Wicke Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh MoMe 11 3 0 12 Feb 2024
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networks Muqun Niu Yuan Ren Boyu Li Chenchen Ding BDL MQ 17 0 0 11 Feb 2024
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization Zhikai Li Xuewen Liu Jing Zhang Qingyi Gu MQ 37 7 0 08 Feb 2024
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention Haotong Qin Xudong Ma Xingyu Zheng Xiaoyang Li Yang Zhang Shouda Liu Jie Luo Xianglong Liu Michele Magno MQ 23 36 0 08 Feb 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes Lucio Dery Steven Kolawole Jean-Francois Kagey Virginia Smith Graham Neubig Ameet Talwalkar 39 28 0 08 Feb 2024
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding Zack Ankner Rishab Parthasarathy Aniruddha Nrusimha Christopher Rinard Jonathan Ragan-Kelley William Brandon 22 24 0 07 Feb 2024
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models Hyesung Jeon Yulhwa Kim Jae-Joon Kim MQ 24 4 0 07 Feb 2024
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition Jinghui Lu Ziwei Yang Yanjie Wang Xuejing Liu Brian Mac Namee Can Huang MoE 45 4 0 07 Feb 2024
ApiQ: Finetuning of 2-Bit Quantized Large Language Model Baohao Liao Christian Herold Shahram Khadivi Christof Monz CLL MQ 42 12 0 07 Feb 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs Wei Huang Yangdong Liu Haotong Qin Ying Li Shiming Zhang Xianglong Liu Michele Magno Xiaojuan Qi MQ 77 67 0 06 Feb 2024
ReLU $^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs Zhengyan Zhang Yixin Song Guanghui Yu Xu Han Yankai Lin Chaojun Xiao Chenyang Song Zhiyuan Liu Zeyu Mi Maosong Sun 20 31 0 06 Feb 2024
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model Xiangxiang Chu Limeng Qiao Xinyu Zhang Shuang Xu Fei Wei ... Xiaofei Sun Yiming Hu Xinyang Lin Bo-Wen Zhang Chunhua Shen VLM MLLM 22 95 0 06 Feb 2024
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning Haoxuan Wang Yuzhang Shang Zhihang Yuan Junyi Wu Yan Yan DiffM MQ 11 28 0 06 Feb 2024
A Survey on Transformer Compression Yehui Tang Yunhe Wang Jianyuan Guo Zhijun Tu Kai Han Hailin Hu Dacheng Tao 29 27 0 05 Feb 2024
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Zirui Liu Jiayi Yuan Hongye Jin Shaochen Zhong Zhaozhuo Xu Vladimir Braverman Beidi Chen Xia Hu MQ 24 158 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
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward Arnav Chavan Raghav Magazine Shubham Kushwaha M. Debbah Deepak Gupta 16 18 0 02 Feb 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization Coleman Hooper Sehoon Kim Hiva Mohammadzadeh Michael W. Mahoney Y. Shao Kurt Keutzer A. Gholami MQ 17 173 0 31 Jan 2024
BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems Yuxin Wang Yuhan Chen Zeyu Li Xueze Kang Zhenheng Tang ... Rui Guo Xin Wang Qiang-qiang Wang Amelie Chi Zhou Xiaowen Chu 39 10 0 31 Jan 2024
TQCompressor: improving tensor decomposition methods in neural networks via permutations V. Abronin A. Naumov D. Mazur D. Bystrov K. Tsarova Ar. Melnikov Ivan V. Oseledets S. Dolgov R. Brasher M. Perelshtein 28 6 0 29 Jan 2024
A Comprehensive Survey of Compression Algorithms for Language Models Seungcheol Park Jaehyeon Choi Sojin Lee U. Kang MQ 24 11 0 27 Jan 2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns Saleh Ashkboos Maximilian L. Croci Marcelo Gennari do Nascimento Torsten Hoefler James Hensman VLM 125 145 0 26 Jan 2024
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer Y. Tai An-Yeu Wu Wu MQ 26 6 0 26 Jan 2024
Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads Cunchen Hu Heyang Huang Liangliang Xu Xusheng Chen Jiang Xu ... Chenxi Wang Sa Wang Yungang Bao Ninghui Sun Yizhou Shan DRL 21 61 0 20 Jan 2024
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Tianle Cai Yuhong Li Zhengyang Geng Hongwu Peng Jason D. Lee De-huai Chen Tri Dao 29 246 0 19 Jan 2024
Extreme Compression of Large Language Models via Additive Quantization Vage Egiazarian Andrei Panferov Denis Kuznedelev Elias Frantar Artem Babenko Dan Alistarh MQ 98 88 0 11 Jan 2024
Memory-Efficient Fine-Tuning for Quantized Diffusion Model Hyogon Ryu Seohyun Lim Hyunjung Shim DiffM MQ 27 5 0 09 Jan 2024
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference Zirui Liu Qingquan Song Q. Xiao Sathiya Keerthi Selvaraj Rahul Mazumder Aman Gupta Xia Hu 16 4 0 08 Jan 2024
IoT in the Era of Generative AI: Vision and Challenges Xin Wang Zhongwei Wan Arvin Hekmati M. Zong Samiul Alam Mi Zhang Bhaskar Krishnamachari 27 15 0 03 Jan 2024
Fast and Optimal Weight Update for Pruned Large Language Models Vladimír Boza 27 5 0 01 Jan 2024
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices Xiangxiang Chu Limeng Qiao Xinyang Lin Shuang Xu Yang Yang ... Fei Wei Xinyu Zhang Bo-Wen Zhang Xiaolin Wei Chunhua Shen MLLM 26 33 0 28 Dec 2023
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference Hongzheng Chen Jiahao Zhang Yixiao Du Shaojie Xiang Zichao Yue Niansong Zhang Yaohui Cai Zhiru Zhang 48 34 0 23 Dec 2023
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU Yixin Song Zeyu Mi Haotong Xie Haibo Chen BDL 120 120 0 16 Dec 2023
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models Alireza Ghaffari Justin Yu Mahsa Ghazvini Nejad M. Asgharian Boxing Chen Vahid Partovi Nia 13 2 0 14 Dec 2023