BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and
Optimizing the Right Coordinate Blocks

BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks

25 June 2024

Vignesh Ganapathiraman

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Papers citing "BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks"

18 / 18 papers shown

Title
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao Zhenyu Zhang Beidi Chen Zhangyang Wang A. Anandkumar Yuandong Tian 95 213 0 06 Mar 2024
ReLoRA: High-Rank Training Through Low-Rank Updates Vladislav Lialin Namrata Shivagunde Sherin Muckatira Anna Rumshisky BDL 79 115 0 11 Jul 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models Zhiqiang Hu Lei Wang Yihuai Lan Wanyu Xu Ee-Peng Lim Lidong Bing Xing Xu Soujanya Poria Roy Ka-wei Lee ALM 102 264 0 04 Apr 2023
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 392 2,388 0 09 Nov 2022
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning Manas Gupta Efe Camci Vishandi Rudy Keneta Abhishek Vaidyanathan Ritwik Kanodia Chuan-Sheng Foo Wu Min Lin Jie 53 14 0 29 Sep 2022
Exploring Low Rank Training of Deep Neural Networks Siddhartha Rao Kamalakara Acyr Locatelli Bharat Venkitesh Jimmy Ba Y. Gal Aidan Gomez 71 24 0 27 Sep 2022
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 129 937 0 08 Oct 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 477 10,367 0 17 Jun 2021
Lessons on Parameter Sharing across Layers in Transformers Sho Takase Shun Kiyono 53 87 0 13 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 608 4,822 0 23 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 445 20,181 0 23 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 234 7,520 0 02 Oct 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 120 595 0 25 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 665 24,528 0 26 Jul 2019
Are Sixteen Heads Really Better than One? Paul Michel Omer Levy Graham Neubig MoE 103 1,062 0 25 May 2019
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 120 180 0 29 Dec 2018
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 1.1K 7,182 0 20 Apr 2018
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 261 8,854 0 01 Oct 2015

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