CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs

CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs

27 May 2024

Papers citing "CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs"

14 / 14 papers shown

Title
Yi: Open Foundation Models by 01.AI 01. AI Alex Young 01.AI Alex Young Bei Chen Chao Li ... Yue Wang Yuxuan Cai Zhenyu Gu Zhiyuan Liu Zonghong Dai OSLM LRM 233 550 0 07 Mar 2024
Mixtral of Experts Albert Q. Jiang Alexandre Sablayrolles Antoine Roux A. Mensch Blanche Savary ... Théophile Gervet Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LLMAG 144 1,075 0 08 Jan 2024
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin You Wu Zhenyu Zhang Cheng-Yu Hsieh Yaqing Wang ... Mykola Pechenizkiy Yi Liang Michael Bendersky Zhangyang Wang Shiwei Liu 82 96 0 08 Oct 2023
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models Wenqi Shao Mengzhao Chen Zhaoyang Zhang Peng Xu Lirui Zhao Zhiqiang Li Kaipeng Zhang Peng Gao Yu Qiao Ping Luo MQ 74 192 0 25 Aug 2023
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 364 2,377 0 09 Nov 2022
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 68 151 0 27 Sep 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar Sidak Pal Singh Dan Alistarh MQ 76 233 0 24 Aug 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 371 10,273 0 17 Jun 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 102 433 0 10 Feb 2021
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 63 575 0 22 Apr 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 79 279 0 10 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 377 20,053 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 208 1,511 0 24 May 2019
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 274 2,844 0 26 Sep 2016