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QLoRA: Efficient Finetuning of Quantized LLMs

QLoRA: Efficient Finetuning of Quantized LLMs

23 May 2023
Tim Dettmers
Artidoro Pagnoni
Ari Holtzman
Luke Zettlemoyer
    ALM
ArXivPDFHTML

Papers citing "QLoRA: Efficient Finetuning of Quantized LLMs"

50 / 298 papers shown
Title
PiCO: Peer Review in LLMs based on the Consistency Optimization
PiCO: Peer Review in LLMs based on the Consistency Optimization
Kun-Peng Ning
Shuo Yang
Yu-Yang Liu
Jia-Yu Yao
Zhen-Hui Liu
Yu Wang
Ming Pang
Li Yuan
ALM
69
8
0
24 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal
Kaustubh Ponkshe
Rohit Vartak
Lav R. Varshney
Praneeth Vepakomma
FedML
74
0
0
24 Feb 2025
Testing the limits of fine-tuning to improve reasoning in vision language models
Testing the limits of fine-tuning to improve reasoning in vision language models
Luca M. Schulze Buschoff
Konstantinos Voudouris
Elif Akata
Matthias Bethge
Joshua B. Tenenbaum
Eric Schulz
LRM
VLM
Presented at ResearchTrend Connect | VLM on 14 Mar 2025
122
0
1
24 Feb 2025
Automatic Input Rewriting Improves Translation with Large Language Models
Automatic Input Rewriting Improves Translation with Large Language Models
Dayeon Ki
Marine Carpuat
38
0
0
23 Feb 2025
Beyond Release: Access Considerations for Generative AI Systems
Beyond Release: Access Considerations for Generative AI Systems
Irene Solaiman
Rishi Bommasani
Dan Hendrycks
Ariel Herbert-Voss
Yacine Jernite
Aviya Skowron
Andrew Trask
60
1
0
23 Feb 2025
Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation
Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation
Kartik Gupta
VGen
46
0
0
22 Feb 2025
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild
Saad Obaid ul Islam
Anne Lauscher
Goran Glavas
HILM
LRM
115
1
0
21 Feb 2025
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model
Emre Can Acikgoz
Jeremiah Greer
Akul Datta
Ze Yang
William Zeng
Oussama Elachqar
Emmanouil Koukoumidis
Dilek Hakkani-Tür
Gökhan Tür
LLMAG
97
3
0
20 Feb 2025
An Efficient Row-Based Sparse Fine-Tuning
An Efficient Row-Based Sparse Fine-Tuning
Cen-Jhih Li
Aditya Bhaskara
49
0
0
17 Feb 2025
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Vera Neplenbroek
Arianna Bisazza
Raquel Fernández
97
0
0
17 Feb 2025
SuperMerge: An Approach For Gradient-Based Model Merging
SuperMerge: An Approach For Gradient-Based Model Merging
Haoyu Yang
Zheng Zhang
Saket Sathe
MoMe
125
0
0
17 Feb 2025
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
Zikai Zhou
Qizheng Zhang
Hermann Kumbong
Kunle Olukotun
MQ
147
0
0
12 Feb 2025
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Andy D. Pimentel
Anuj Pathania
46
0
0
08 Feb 2025
DeepThink: Aligning Language Models with Domain-Specific User Intents
DeepThink: Aligning Language Models with Domain-Specific User Intents
Yang Li
Mingxuan Luo
Yeyun Gong
Chen Lin
Jian Jiao
Yi Liu
Kaili Huang
LRM
ALM
ELM
52
0
0
08 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
M. Gong
113
1
0
05 Feb 2025
Learning to Generate Unit Tests for Automated Debugging
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad
Elias Stengel-Eskin
Justin Chih-Yao Chen
Zaid Khan
Mohit Bansal
ELM
76
1
0
03 Feb 2025
Position: AI Scaling: From Up to Down and Out
Position: AI Scaling: From Up to Down and Out
Yunke Wang
Yanxi Li
Chang Xu
HAI
74
1
0
02 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
H. Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
102
6
0
28 Jan 2025
Learning to Summarize from LLM-generated Feedback
Learning to Summarize from LLM-generated Feedback
Hwanjun Song
Taewon Yun
Yuho Lee
Jihwan Oh
Gihun Lee
Jason (Jinglun) Cai
Hang Su
73
2
0
28 Jan 2025
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Jingwei Yi
Yueqi Xie
Bin Zhu
Emre Kiciman
Guangzhong Sun
Xing Xie
Fangzhao Wu
AAML
51
64
0
28 Jan 2025
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Nicolas Boizard
Kevin El Haddad
C´eline Hudelot
Pierre Colombo
68
14
0
28 Jan 2025
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Mohammad Mozaffari
Amir Yazdanbakhsh
Zhao Zhang
M. Dehnavi
65
5
0
28 Jan 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
64
0
0
26 Jan 2025
The Karp Dataset
The Karp Dataset
Mason DiCicco
Eamon Worden
Conner Olsen
Nikhil Gangaram
Daniel Reichman
Neil T. Heffernan
ReLM
LRM
56
0
0
24 Jan 2025
Enhancing Biomedical Relation Extraction with Directionality
Enhancing Biomedical Relation Extraction with Directionality
Po-Ting Lai
Chih-Hsuan Wei
Shubo Tian
Robert Leaman
Zhiyong Lu
32
0
0
23 Jan 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Han Guo
William Brandon
Radostin Cholakov
Jonathan Ragan-Kelley
Eric P. Xing
Yoon Kim
MQ
79
12
0
20 Jan 2025
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
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
Merging Feed-Forward Sublayers for Compressed Transformers
Merging Feed-Forward Sublayers for Compressed Transformers
Neha Verma
Kenton W. Murray
Kevin Duh
AI4CE
45
0
0
10 Jan 2025
iServe: An Intent-based Serving System for LLMs
iServe: An Intent-based Serving System for LLMs
Dimitrios Liakopoulos
Tianrui Hu
Prasoon Sinha
N. Yadwadkar
VLM
83
0
0
08 Jan 2025
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning
Zhen Li
Yupeng Su
Runming Yang
C. Xie
Z. Wang
Zhongwei Xie
Ngai Wong
Hongxia Yang
MQ
LRM
30
3
0
06 Jan 2025
Scaling Laws for Floating Point Quantization Training
Scaling Laws for Floating Point Quantization Training
X. Sun
Shuaipeng Li
Ruobing Xie
Weidong Han
Kan Wu
...
Yangyu Tao
Zhanhui Kang
C. Xu
Di Wang
Jie Jiang
MQ
AIFin
53
0
0
05 Jan 2025
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
Ruosen Li
Teerth Patel
Xinya Du
LLMAG
ALM
52
94
0
03 Jan 2025
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo
Qingfeng Sun
Can Xu
Pu Zhao
Jian-Guang Lou
...
Xiubo Geng
Qingwei Lin
Shifeng Chen
Yansong Tang
Dongmei Zhang
OSLM
LRM
103
402
0
03 Jan 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
53
1
0
03 Jan 2025
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
GaLore+++: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao
Shaohui Li
Yuhui Xu
Zhi Li
Y. Liu
You He
VLM
54
2
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
Investigating Length Issues in Document-level Machine Translation
Investigating Length Issues in Document-level Machine Translation
Ziqian Peng
Rachel Bawden
François Yvon
69
1
0
23 Dec 2024
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference
Siyuan Wang
Dianyi Wang
Chengxing Zhou
Zejun Li
Zhihao Fan
Xuanjing Huang
Zhongyu Wei
VLM
108
0
0
17 Dec 2024
Empowering LLMs to Understand and Generate Complex Vector Graphics
Empowering LLMs to Understand and Generate Complex Vector Graphics
Ximing Xing
Juncheng Hu
Guotao Liang
Jing Zhang
Dong Xu
Qian Yu
92
7
0
15 Dec 2024
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
Dongwei Wang
Huanrui Yang
MQ
82
1
0
08 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang
Juyong Jiang
Chansung Park
Sunghun Kim
Jing Tang
91
1
0
08 Dec 2024
Reinforcement Learning Enhanced LLMs: A Survey
Reinforcement Learning Enhanced LLMs: A Survey
Shuhe Wang
Shengyu Zhang
J. Zhang
Runyi Hu
Xiaoya Li
Tianwei Zhang
Jiwei Li
Fei Wu
G. Wang
Eduard H. Hovy
OffRL
128
7
0
05 Dec 2024
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Jinda Lu
Kai Zhang
Alex Su
Xiang Wang
Xiangnan He
MU
KELM
97
6
0
30 Nov 2024
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
Elita Lobo
Chirag Agarwal
Himabindu Lakkaraju
LRM
70
5
0
22 Nov 2024
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Seokil Ham
H. Kim
Sangmin Woo
Changick Kim
Mamba
115
0
0
21 Nov 2024
Quantized symbolic time series approximation
Quantized symbolic time series approximation
Erin Carson
Xinye Chen
Cheng Kang
AI4TS
74
0
0
20 Nov 2024
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Huaizhi Ge
Yiming Li
Qifan Wang
Yongfeng Zhang
Ruixiang Tang
AAML
SILM
72
0
0
19 Nov 2024
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
Yuzong Chen
Ahmed F. AbouElhamayed
Xilai Dai
Yang Wang
Marta Andronic
G. Constantinides
Mohamed S. Abdelfattah
MQ
98
0
0
18 Nov 2024
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni
Jonathan Colaço-Carr
Yash More
Jackie CK Cheung
G. Farnadi
73
0
0
12 Nov 2024
Neural Precision Polarization: Simplifying Neural Network Inference with
  Dual-Level Precision
Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision
Dinithi Jayasuriya
Nastaran Darabi
Maeesha Binte Hashem
A. R. Trivedi
MQ
21
1
0
06 Nov 2024
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