LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

12 October 2023

Papers citing "LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models"

20 / 20 papers shown

Title
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth Changhai Zhou Yuhua Zhou Qian Qiao Weizhong Zhang Cheng Jin MQ 25 0 0 02 May 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization Bojana Ranković P. Schwaller BDL 74 0 0 08 Apr 2025
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits Zikai Zhou Qizheng Zhang Hermann Kumbong Kunle Olukotun MQ 132 0 0 12 Feb 2025
Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models Seungeun Oh Jinhyuk Kim Jihong Park Seung-Woo Ko Tony Q. S. Quek Seong-Lyun Kim 63 3 0 17 Dec 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 29 0 0 28 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 44 3 0 24 Oct 2024
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning H. Fernando Han Shen Parikshit Ram Yi Zhou Horst Samulowitz Nathalie Baracaldo Tianyi Chen CLL 50 2 0 20 Oct 2024
Composable Interventions for Language Models Arinbjorn Kolbeinsson Kyle O'Brien Tianjin Huang Shanghua Gao Shiwei Liu ... Anurag J. Vaidya Faisal Mahmood Marinka Zitnik Tianlong Chen Thomas Hartvigsen KELM MU 77 5 0 09 Jul 2024
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE Florence Regol Joud Chataoui Bertrand Charpentier Mark J. Coates Pablo Piantanida Stephan Gunnemann 30 0 0 20 Jun 2024
The Impact of Initialization on LoRA Finetuning Dynamics Soufiane Hayou Nikhil Ghosh Bin Yu AI4CE 34 10 0 12 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou S. Song Jianlong Wu Liqiang Nie Bernard Ghanem 43 6 0 07 Jun 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models Fanxu Meng Zhaohui Wang Muhan Zhang VLM 54 66 0 03 Apr 2024
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 41 1 0 01 Feb 2024
Audio Editing with Non-Rigid Text Prompts Francesco Paissan Luca Della Libera Zhepei Wang Mirco Ravanelli Paris Smaragdis Cem Subakan DiffM 19 5 0 19 Oct 2023
Mobile Foundation Model as Firmware Jinliang Yuan Chenchen Yang Dongqi Cai Shihe Wang Xin Yuan ... Di Zhang Hanzi Mei Xianqing Jia Shangguang Wang Mengwei Xu 30 19 0 28 Aug 2023
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 53 47 0 30 Sep 2021
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 138 221 0 31 Dec 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 217 571 0 12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015