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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
A. Ramesh
Vignesh Ganapathiraman
I. Laradji
Mark W. Schmidt
ArXivPDFHTML

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

4 / 4 papers shown
Title
The Falcon Series of Open Language Models
The Falcon Series of Open Language Models
Ebtesam Almazrouei
Hamza Alobeidli
Abdulaziz Alshamsi
Alessandro Cappelli
Ruxandra-Aimée Cojocaru
...
Quentin Malartic
Daniele Mazzotta
Badreddine Noune
B. Pannier
Guilherme Penedo
AI4TS
ALM
113
396
0
28 Nov 2023
Exploring Low Rank Training of Deep Neural Networks
Exploring Low Rank Training of Deep Neural Networks
Siddhartha Rao Kamalakara
Acyr F. Locatelli
Bharat Venkitesh
Jimmy Ba
Y. Gal
Aidan N. Gomez
48
22
0
27 Sep 2022
Scaling Laws for Neural Language Models
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
226
4,424
0
23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
6,943
0
20 Apr 2018
1