SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

2 January 2023

Dan Alistarh

Papers citing "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot"

50 / 111 papers shown

Title
Semantic Retention and Extreme Compression in LLMs: Can We Have Both? Stanislas Laborde Martin Cousseau Antoun Yaacoub Lionel Prevost MQ 23 0 0 12 May 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU Yuxin Zhou Zheng Li J. Zhang Jue Wang Y. Wang Zhongle Xie Ke Chen Lidan Shou MoE 46 0 0 09 May 2025
SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Hanyu Hu Xiaoming Yuan 46 0 0 06 May 2025
Faster MoE LLM Inference for Extremely Large Models Haoqi Yang Luohe Shi Qiwei Li Zuchao Li Ping Wang Bo Du Mengjia Shen Hai Zhao MoE 61 0 0 06 May 2025
ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations Dmitriy Shopkhoev Ammar Ali Magauiya Zhussip Valentin Malykh Stamatios Lefkimmiatis N. Komodakis Sergey Zagoruyko VLM 96 0 0 05 May 2025
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models Chuan Sun Han Yu Lizhen Cui Xiaoxiao Li 72 0 0 03 May 2025
Position: Enough of Scaling LLMs! Lets Focus on Downscaling Ayan Sengupta Yash Goel Tanmoy Chakraborty 34 0 0 02 May 2025
Efficient LLMs with AMP: Attention Heads and MLP Pruning Leandro Giusti Mugnaini Bruno Yamamoto Lucas Lauton de Alcantara Victor Zacarias Edson Bollis Lucas Pellicer A. H. R. Costa Artur Jordao 37 0 0 29 Apr 2025
BrAIcht, a theatrical agent that speaks like Bertolt Brecht's characters Baz Roland Kristina Malyseva Anna Pappa Tristan Cazenave 59 0 0 29 Apr 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge M. Ramanujam Yinwei Dai Kyle Jamieson Ravi Netravali 71 0 0 29 Apr 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Zhenyu (Allen) Zhang Zechun Liu Yuandong Tian Harshit Khaitan Z. Wang Steven Li 57 0 0 28 Apr 2025
ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs Fahmida Liza Piya Rahmatollah Beheshti 95 0 0 23 Apr 2025
The Rise of Small Language Models in Healthcare: A Comprehensive Survey Muskan Garg Shaina Raza Shebuti Rayana Xingyi Liu Sunghwan Sohn LM&MA AILaw 87 0 0 23 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs Jiliang Ni Jiachen Pu Zhongyi Yang Kun Zhou Hui Wang Xiaoliang Xiao Dakui Wang Xin Li Jingfeng Luo Conggang Hu 32 0 0 18 Apr 2025
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models Ruikang Liu Yuxuan Sun Manyi Zhang Haoli Bai Xianzhi Yu Tiezheng Yu C. Yuan Lu Hou MQ LRM 31 5 0 07 Apr 2025
Saliency-driven Dynamic Token Pruning for Large Language Models Yao Tao Yehui Tang Yun Wang Mingjian Zhu Hailin Hu Yunhe Wang 34 0 0 06 Apr 2025
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks Nan Zhang Yusen Zhang Prasenjit Mitra Rui Zhang MQ LRM 51 2 0 02 Apr 2025
Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process Yuanze Li Shihao Yuan Haolin Wang Qizhang Li Ming-Yu Liu Chen Xu Guangming Shi Wangmeng Zuo 56 0 0 17 Mar 2025
PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing Cheng Deng Luoyang Sun Jiwen Jiang Yongcheng Zeng Xinjian Wu ... Haoyang Li Lei Chen Lionel M. Ni H. Zhang Jun Wang 130 0 0 15 Mar 2025
How can representation dimension dominate structurally pruned LLMs? Mingxue Xu Lisa Alazraki Danilo P. Mandic 56 0 0 06 Mar 2025
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models Weilan Wang Yu Mao Dongdong Tang Hongchao Du Nan Guan Chun Jason Xue MQ 62 1 0 24 Feb 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint Qianli Ma Dongrui Liu Qian Chen Linfeng Zhang Jing Shao MoMe 112 0 0 24 Feb 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing Qi Le Enmao Diao Ziyan Wang Xinran Wang Jie Ding Li Yang Ali Anwar 69 1 0 24 Feb 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs Minxuan Lv Zhenpeng Su Leiyu Pan Yizhe Xiong Zijia Lin ... Guiguang Ding Cheng Luo Di Zhang Kun Gai Songlin Hu MoE 39 0 0 18 Feb 2025
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis J. Zhao M. Wang Miao Zhang Yuzhang Shang Xuebo Liu Yaowei Wang Min Zhang Liqiang Nie MQ 58 1 0 18 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models Zhen Zhang Y. Yang Kai Zhen Nathan Susanj Athanasios Mouchtaris Siegfried Kunzmann Zheng Zhang 54 0 0 17 Feb 2025
An Efficient Row-Based Sparse Fine-Tuning Cen-Jhih Li Aditya Bhaskara 52 0 0 17 Feb 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models Xingrun Xing Zheng Liu Shitao Xiao Boyan Gao Yiming Liang Wanpeng Zhang Haokun Lin Guoqi Li Jiajun Zhang LRM 56 1 0 10 Feb 2025
Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective Yuan Feng Junlin Lv Y. Cao Xike Xie S.Kevin Zhou 71 2 0 06 Feb 2025
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected Yingtao Zhang Jialin Zhao Wenjing Wu Ziheng Liao Umberto Michieli C. Cannistraci 48 0 0 31 Jan 2025
Symmetric Pruning of Large Language Models Kai Yi Peter Richtárik AAML VLM 57 0 0 31 Jan 2025
GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments Yanyu Chen Ganhong Huang 103 0 0 28 Jan 2025
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs Mohammad Mozaffari Amir Yazdanbakhsh Zhao Zhang M. Dehnavi 76 5 0 28 Jan 2025
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning Ayan Sengupta Siddhant Chaudhary Tanmoy Chakraborty 44 3 0 25 Jan 2025
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models Tom Wallace Naser Ezzati-Jivan Beatrice Ombuki-Berman MQ 33 1 0 16 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Danyal Aftab Steven Davy ALM 49 0 0 10 Jan 2025
iServe: An Intent-based Serving System for LLMs Dimitrios Liakopoulos Tianrui Hu Prasoon Sinha N. Yadwadkar VLM 127 0 0 08 Jan 2025
MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks Yifei Liu Zhihang Zhong Yifan Zhan Sheng Xu Xiao Sun 3DGS 51 3 0 29 Dec 2024
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment Binrui Zeng Bin Ji Xiaodong Liu Jie Yu Shasha Li Jun Ma Xiaopeng Li Shangwen Wang Xinran Hong Yongtao Tang MQ 42 1 0 24 Dec 2024
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference Chao Zeng Songwei Liu Shu Yang Fangmin Chen Xing Mei Lean Fu MQ 40 0 0 23 Dec 2024
Unifying KV Cache Compression for Large Language Models with LeanKV Yanqi Zhang Yuwei Hu Runyuan Zhao John C. S. Lui Haibo Chen MQ 127 5 0 04 Dec 2024
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking Marco Federici Davide Belli M. V. Baalen Amir Jalalirad Andrii Skliar Bence Major Markus Nagel Paul N. Whatmough 76 0 0 02 Dec 2024
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training Elia Cunegatti Leonardo Lucio Custode Giovanni Iacca 36 0 0 11 Nov 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo Chenyang Song Xu Han Y. Chen Chaojun Xiao Zhiyuan Liu Maosong Sun 47 3 0 04 Nov 2024
ProMoE: Fast MoE-based LLM Serving using Proactive Caching Xiaoniu Song Zihang Zhong Rong Chen Haibo Chen MoE 58 4 0 29 Oct 2024
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation Shih-yang Liu Huck Yang Nai Chit Fung Nai Chit Fung Hongxu Yin ... Jan Kautz Yu-Chun Wang Pavlo Molchanov Min-Hung Chen Min-Hung Chen MQ 31 0 0 28 Oct 2024
Self-calibration for Language Model Quantization and Pruning Miles Williams G. Chrysostomou Nikolaos Aletras MQ 102 0 0 22 Oct 2024
On the Role of Attention Heads in Large Language Model Safety Z. Zhou Haiyang Yu Xinghua Zhang Rongwu Xu Fei Huang Kun Wang Yang Liu Junfeng Fang Yongbin Li 57 5 0 17 Oct 2024
DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs Yingsong Luo Ling Chen MQ 21 0 0 16 Oct 2024
HSR-Enhanced Sparse Attention Acceleration Bo Chen Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao-quan Song 87 18 0 14 Oct 2024