v1v2v3 (latest)

Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

29 October 2023

Kan Zhu

Papers citing "Atom: Low-bit Quantization for Efficient and Accurate LLM Serving"

26 / 26 papers shown

Title
Model-Distributed Inference for Large Language Models at the Edge Davide Macario H. Seferoglu Erdem Koyuncu 60 0 0 13 May 2025
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 229 5 0 01 May 2025
Achieving binary weight and activation for LLMs using Post-Training Quantization Siqing Song Chuang Wang Ruiqi Wang Yi Yang Xuyao Zhang MQ 118 0 0 07 Apr 2025
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models Hung-Yueh Chiang Chi-chih Chang N. Frumkin Kai-Chiang Wu Mohamed S. Abdelfattah Diana Marculescu MQ 476 0 0 28 Mar 2025
MoQa: Rethinking MoE Quantization with Multi-stage Data-model Distribution Awareness Zihao Zheng Xiuping Cui Size Zheng Maoliang Li Jiayu Chen Yun Liang Xiang Chen MQ MoE 118 0 0 27 Mar 2025
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization Minsu Kim Seongmin Hong RyeoWook Ko S. Choi Hunjong Lee Junsoo Kim Joo-Young Kim Jongse Park 115 0 0 24 Mar 2025
GPU-Accelerated Motion Planning of an Underactuated Forestry Crane in Cluttered Environments M. Vu Gerald Ebmer Alexander Watcher Marc-Philip Ecker Giang Nguyen Tobias Glueck 130 3 0 18 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers Qitan Lv T. Liu Haoyu Wang 167 1 0 08 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 255 126 0 21 Feb 2025
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang Bairu Hou Wei Wei Yujia Bao Shiyu Chang VLM 172 3 0 21 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 165 10 0 04 Feb 2025
Twilight: Adaptive Attention Sparsity with Hierarchical Top- $p$ Pruning C. Lin Jiaming Tang Shuo Yang Hanshuo Wang Tian Tang Boyu Tian Ion Stoica Enze Xie Mingyu Gao 156 5 0 04 Feb 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMs Han Guo William Brandon Radostin Cholakov Jonathan Ragan-Kelley Eric P. Xing Yoon Kim MQ 161 16 0 20 Jan 2025
Unifying KV Cache Compression for Large Language Models with LeanKV Yanqi Zhang Yuwei Hu Runyuan Zhao John C. S. Lui Haibo Chen MQ 271 7 0 04 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 165 11 0 12 Oct 2024
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective Jinhao Li Jiaming Xu Shan Huang Yonghua Chen Wen Li ... Jiayi Pan Li Ding Hao Zhou Yu Wang Guohao Dai 167 19 0 06 Oct 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao Tongcheng Fang Haofeng Huang Enshu Liu Widyadewi Soedarmadji ... Shengen Yan Huazhong Yang Xuefei Ning Xuefei Ning Yu Wang MQ VGen 187 35 0 04 Jun 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 147 98 0 07 May 2024
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models Keisuke Kamahori Tian Tang Yile Gu Kan Zhu Baris Kasikci 134 24 0 10 Feb 2024
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 142 479 0 04 Jun 2022
PIQA: Reasoning about Physical Commonsense in Natural Language Yonatan Bisk Rowan Zellers Ronan Le Bras Jianfeng Gao Yejin Choi OOD LRM 197 1,847 0 26 Nov 2019
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 521 20,376 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 256 1,562 0 24 May 2019
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 170 3,148 0 15 Dec 2017
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 352 2,901 0 26 Sep 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,864 0 01 Oct 2015