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

2 January 2023

Elias Frantar

Dan Alistarh

VLM

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

50 / 196 papers shown

Title
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models Jaewoo Lee Keyang Xuan Chanakya Ekbote Sandeep Polisetty Yi R. Fung Paul Pu Liang VLM 98 1 0 14 Apr 2025
SD $^2$ : Self-Distilled Sparse Drafters Mike Lasby Nish Sinnadurai Valavan Manohararajah Sean Lie Yani Andrew Ioannou Vithursan Thangarasa 424 1 0 10 Apr 2025
Entropy-Based Block Pruning for Efficient Large Language Models Liangwei Yang Yuhui Xu Juntao Tan Doyen Sahoo Siyang Song Caiming Xiong Han Wang Shelby Heinecke AAML 64 0 0 04 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 192 4 0 02 Apr 2025
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models Runpeng Dai Run Yang Fan Zhou Hongtu Zhu 66 0 0 28 Mar 2025
As easy as PIE: understanding when pruning causes language models to disagree Pietro Tropeano Maria Maistro Tuukka Ruotsalo Christina Lioma 99 0 0 27 Mar 2025
Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model Abdelrahman M. Shaker Muhammad Maaz Chenhui Gou Hamid Rezatofighi Salman Khan Fahad Shahbaz Khan 439 0 0 27 Mar 2025
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models Yinan Liang Zehua Wang Xiuwei Xu Jie Zhou Jiwen Lu VLM LRM 90 0 0 19 Mar 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 101 2 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 Jun Wang Jun Wang 440 0 0 15 Mar 2025
Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity Chi Xu Gefei Zhang Yantong Zhu Luca Benini Guosheng Hu Yawei Li Zhihong Zhang 63 1 0 14 Mar 2025
Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor Cores Chenpeng Wu Qiqi Gu Heng Shi Jianguo Yao Haibing Guan MoE 90 0 0 13 Mar 2025
Wanda++: Pruning Large Language Models via Regional Gradients Yifan Yang Kai Zhen Bhavana Ganesh Aram Galstyan Goeric Huybrechts ... S. Bodapati Nathan Susanj Zheng Zhang Jack FitzGerald Abhishek Kumar 250 3 0 06 Mar 2025
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs Yiheng Yang Yujie Wang Chi Ma Lei Yu Emmanuele Chersoni Chu-Ren Huang 154 0 0 26 Feb 2025
Compressing Language Models for Specialized Domains Miles Williams G. Chrysostomou Vitor Jeronymo Nikolaos Aletras MQ 123 0 0 25 Feb 2025
Systematic Weight Evaluation for Pruning Large Language Models: Enhancing Performance and Sustainability Ashhadul Islam S. Belhaouari Amine Bermak 112 0 0 24 Feb 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 128 2 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 458 2 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 128 5 0 24 Feb 2025
Delta Decompression for MoE-based LLMs Compression Hao Gu Wei Li Lujun Li Qiyuan Zhu Mark Lee Shengjie Sun Wei Xue Yike Guo MoE 142 3 0 24 Feb 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation Tao Fan Guoqiang Ma Yuanfeng Song Lixin Fan Kai Chen Qiang Yang 90 1 0 21 Feb 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models Weizhong Huang Yuxin Zhang Xiawu Zheng Yang Liu Jing Lin Yiwu Yao Rongrong Ji 249 2 0 21 Feb 2025
EvoP: Robust LLM Inference via Evolutionary Pruning Shangyu Wu Hongchao Du Ying Xiong Shuai Chen Tei-Wei Kuo Nan Guan Chun Jason Xue 102 1 0 19 Feb 2025
MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures Jiayu Qin Jianchao Tan Jianchao Tan Xunliang Cai Wei Wang 77 0 0 19 Feb 2025
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis Jiaqi Zhao Ming Wang Miao Zhang Yuzhang Shang Xuebo Liu Yaowei Wang Min Zhang Liqiang Nie MQ 273 2 0 18 Feb 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models Jiaqi Zhao Miao Zhang Ming Wang Yuzhang Shang Kaihao Zhang Weili Guan Yaowei Wang Min Zhang MQ 114 1 0 18 Feb 2025
PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery Bowei He Lihao Yin Hui-Ling Zhen Xiaokun Zhang Mingxuan Yuan Chen Ma 196 0 0 18 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 122 0 0 18 Feb 2025
An Efficient Row-Based Sparse Fine-Tuning Cen-Jhih Li Aditya Bhaskara 130 0 0 17 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models Zhen Zhang Yue Yang Kai Zhen Nathan Susanj Athanasios Mouchtaris Siegfried Kunzmann Zheng Zhang 112 1 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 288 2 0 10 Feb 2025
Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective Yuan Feng Junlin Lv Yuhang Cao Xike Xie S.Kevin Zhou 141 2 0 06 Feb 2025
M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference Nikhil Bhendawade Mahyar Najibi Devang Naik Irina Belousova MoE 146 0 0 04 Feb 2025
Symmetric Pruning of Large Language Models Kai Yi Peter Richtárik AAML VLM 118 0 0 31 Jan 2025
Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected Yingtao Zhang Diego Cerretti Jialin Zhao Wenjing Wu Ziheng Liao Umberto Michieli C. Cannistraci 189 1 0 31 Jan 2025
GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments Yanyu Chen Ganhong Huang 165 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 150 7 0 28 Jan 2025
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning Ayan Sengupta Siddhant Chaudhary Tanmoy Chakraborty 134 4 0 25 Jan 2025
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models Tom Wallace Naser Ezzati-Jivan Beatrice Ombuki-Berman MQ 73 1 0 16 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Danyal Aftab Steven Davy ALM 122 1 0 10 Jan 2025
iServe: An Intent-based Serving System for LLMs Dimitrios Liakopoulos Tianrui Hu Prasoon Sinha N. Yadwadkar VLM 534 0 0 08 Jan 2025
MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks Yifei Liu Zhihang Zhong Yifan Zhan Sheng Xu Xiao Sun 3DGS 154 3 0 29 Dec 2024
DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization Y. Park Jake Hyun Hojoon Kim Jae W. Lee MQ 140 0 0 28 Dec 2024
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment Binrui Zeng Shezheng Song Xiaodong Liu Jie Yu Huijun Liu Jun Ma Xiaopeng Li Shasha Li Xinran Hong Yongtao Tang MQ 130 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 139 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 292 7 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 216 1 0 02 Dec 2024
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference Andrii Skliar T. V. Rozendaal Romain Lepert Todor Boinovski M. V. Baalen Markus Nagel Paul N. Whatmough B. Bejnordi MoE 180 2 0 27 Nov 2024
Reassessing Layer Pruning in LLMs: New Insights and Methods Yao Lu Hao Cheng Yujie Fang Zeyu Wang Jiaheng Wei Dongwei Xu Qi Xuan Xiaoniu Yang Zhaowei Zhu 138 4 0 23 Nov 2024
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Hexuan Deng Wenxiang Jiao Xuebo Liu Min Zhang Zhaopeng Tu Zhaopeng Tu VLM 270 0 0 21 Nov 2024