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Sheared LLaMA: Accelerating Language Model Pre-training via Structured
  Pruning

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

10 October 2023
Mengzhou Xia
Tianyu Gao
Zhiyuan Zeng
Danqi Chen
ArXivPDFHTML

Papers citing "Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning"

45 / 45 papers shown
Title
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models
Chuan Sun
Han Yu
Lizhen Cui
Xiaoxiao Li
28
0
0
03 May 2025
FineScope : Precision Pruning for Domain-Specialized Large Language Models Using SAE-Guided Self-Data Cultivation
FineScope : Precision Pruning for Domain-Specialized Large Language Models Using SAE-Guided Self-Data Cultivation
Chaitali Bhattacharyya
Yeseong Kim
43
0
0
01 May 2025
Efficient LLMs with AMP: Attention Heads and MLP Pruning
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
33
0
0
29 Apr 2025
The Rise of Small Language Models in Healthcare: A Comprehensive Survey
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
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
29
0
0
18 Apr 2025
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
Nan Zhang
Yusen Zhang
Prasenjit Mitra
Rui Zhang
MQ
LRM
44
2
0
02 Apr 2025
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Fan Zhou
Zengzhi Wang
Qian Liu
Junlong Li
Pengfei Liu
ALM
88
14
0
17 Feb 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
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
49
1
0
10 Feb 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
73
11
0
31 Dec 2024
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference
Chao Zeng
Songwei Liu
Shu Yang
Fangmin Chen
Xing Mei
Lean Fu
MQ
38
0
0
23 Dec 2024
Sneaking Syntax into Transformer Language Models with Tree Regularization
Sneaking Syntax into Transformer Language Models with Tree Regularization
Ananjan Nandi
Christopher D. Manning
Shikhar Murty
64
0
0
28 Nov 2024
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Akhiad Bercovich
Tomer Ronen
Talor Abramovich
Nir Ailon
Nave Assaf
...
Ido Shahaf
Oren Tropp
Omer Ullman Argov
Ran Zilberstein
Ran El-Yaniv
75
1
0
28 Nov 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Yuqi Luo
Chenyang Song
Xu Han
Y. Chen
Chaojun Xiao
Zhiyuan Liu
Maosong Sun
44
3
0
04 Nov 2024
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
41
2
0
23 Oct 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models
MiniPLM: Knowledge Distillation for Pre-Training Language Models
Yuxian Gu
Hao Zhou
Fandong Meng
Jie Zhou
Minlie Huang
56
5
0
22 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
33
0
0
13 Oct 2024
Data Selection via Optimal Control for Language Models
Data Selection via Optimal Control for Language Models
Yuxian Gu
Li Dong
Hongning Wang
Y. Hao
Qingxiu Dong
Furu Wei
Minlie Huang
AI4CE
40
4
0
09 Oct 2024
Hyper-Compression: Model Compression via Hyperfunction
Hyper-Compression: Model Compression via Hyperfunction
Fenglei Fan
Juntong Fan
Dayang Wang
Jingbo Zhang
Zelin Dong
Shijun Zhang
Ge Wang
Tieyong Zeng
18
0
0
01 Sep 2024
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
Aviv Bick
Kevin Y. Li
Eric P. Xing
J. Zico Kolter
Albert Gu
Mamba
43
24
0
19 Aug 2024
A deeper look at depth pruning of LLMs
A deeper look at depth pruning of LLMs
Shoaib Ahmed Siddiqui
Xin Dong
Greg Heinrich
Thomas Breuel
Jan Kautz
David M. Krueger
Pavlo Molchanov
26
7
0
23 Jul 2024
Compact Language Models via Pruning and Knowledge Distillation
Compact Language Models via Pruning and Knowledge Distillation
Saurav Muralidharan
Sharath Turuvekere Sreenivas
Raviraj Joshi
Marcin Chochowski
M. Patwary
M. Shoeybi
Bryan Catanzaro
Jan Kautz
Pavlo Molchanov
SyDa
MQ
27
36
0
19 Jul 2024
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM
  Compression
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
Zhichao Xu
Ashim Gupta
Tao Li
Oliver Bentham
Vivek Srikumar
35
8
0
06 Jul 2024
On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
26
2
0
24 Jun 2024
Finding Transformer Circuits with Edge Pruning
Finding Transformer Circuits with Edge Pruning
Adithya Bhaskar
Alexander Wettig
Dan Friedman
Danqi Chen
49
14
0
24 Jun 2024
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Lynn Chua
Badih Ghazi
Yangsibo Huang
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chulin Xie
Chiyuan Zhang
38
1
0
23 Jun 2024
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad
  Prediction
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
Yinhao Bai
Yalan Xie
Xiaoyi Liu
Yuhua Zhao
Zhixin Han
Mengting Hu
Hang Gao
Renhong Cheng
18
3
0
11 Jun 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Naibin Gu
Peng Fu
Xiyu Liu
Bowen Shen
Zheng-Shen Lin
Weiping Wang
17
6
0
06 Jun 2024
Pruning as a Domain-specific LLM Extractor
Pruning as a Domain-specific LLM Extractor
Nan Zhang
Yanchi Liu
Xujiang Zhao
Wei Cheng
Runxue Bao
Rui Zhang
Prasenjit Mitra
Haifeng Chen
14
9
0
10 May 2024
Prospect Personalized Recommendation on Large Language Model-based Agent
  Platform
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
Jizhi Zhang
Keqin Bao
Wenjie Wang
Yang Zhang
Wentao Shi
Wanhong Xu
Fuli Feng
Tat-Seng Chua
LLMAG
33
16
0
28 Feb 2024
Data-free Weight Compress and Denoise for Large Language Models
Data-free Weight Compress and Denoise for Large Language Models
Runyu Peng
Yunhua Zhou
Qipeng Guo
Yang Gao
Hang Yan
Xipeng Qiu
Dahua Lin
26
1
0
26 Feb 2024
Balanced Data Sampling for Language Model Training with Clustering
Balanced Data Sampling for Language Model Training with Clustering
Yunfan Shao
Linyang Li
Zhaoye Fei
Hang Yan
Dahua Lin
Xipeng Qiu
21
8
0
22 Feb 2024
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Shuzhou Yuan
Ercong Nie
Bolei Ma
Michael Farber
29
2
0
18 Feb 2024
On the Efficacy of Eviction Policy for Key-Value Constrained Generative
  Language Model Inference
On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference
Siyu Ren
Kenny Q. Zhu
13
27
0
09 Feb 2024
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lù
Zdeněk Kasner
Siva Reddy
19
59
0
08 Feb 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Lucio Dery
Steven Kolawole
Jean-Francois Kagey
Virginia Smith
Graham Neubig
Ameet Talwalkar
29
27
0
08 Feb 2024
Decoding Speculative Decoding
Decoding Speculative Decoding
Minghao Yan
Saurabh Agarwal
Shivaram Venkataraman
LRM
19
5
0
02 Feb 2024
Institutional Platform for Secure Self-Service Large Language Model Exploration
Institutional Platform for Secure Self-Service Large Language Model Exploration
V. Bumgardner
Mitchell A. Klusty
W. V. Logan
Samuel E. Armstrong
Caylin D. Hickey
Jeff Talbert
Caylin Hickey
Jeff Talbert
35
1
0
01 Feb 2024
PanGu-$π$: Enhancing Language Model Architectures via Nonlinearity
  Compensation
PanGu-πππ: Enhancing Language Model Architectures via Nonlinearity Compensation
Yunhe Wang
Hanting Chen
Yehui Tang
Tianyu Guo
Kai Han
...
Qinghua Xu
Qun Liu
Jun Yao
Chao Xu
Dacheng Tao
53
15
0
27 Dec 2023
VinaLLaMA: LLaMA-based Vietnamese Foundation Model
VinaLLaMA: LLaMA-based Vietnamese Foundation Model
Quan Van Nguyen
Huy Quang Pham
Dung Dao
ALM
8
8
0
18 Dec 2023
Initializing Models with Larger Ones
Initializing Models with Larger Ones
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
22
17
0
30 Nov 2023
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
Cody Blakeney
Jessica Zosa Forde
Jonathan Frankle
Ziliang Zong
Matthew L. Leavitt
VLM
17
4
0
01 Nov 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
234
447
0
14 Jul 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
236
1,508
0
31 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
145
345
0
23 Jul 2020
1