add example of using LoRA in JAX - #187
Draft
nikolasavic3 wants to merge 1 commit into
Draft
Conversation
nikolasavic3
force-pushed
the
example-LoRA
branch
from
March 24, 2025 07:56
597ad58 to
c23a8dd
Compare
nikolasavic3
marked this pull request as draft
June 10, 2025 06:23
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR implements the first chapter of a tutorial demonstrating how to use Low-Rank Adaptation (LoRA) in JAX. It was meant to serve as an introduction to the underlying mechanics of LoRA by building upon the pre-training an LLM tutorial.
I'm interested in adding a second chapter that will cover the more practical application of applying LoRA to pre-trained models.
Please let me know if this approach is suitable and if this example would be valuable to the JAX. I'm happy to make any suggested improvements before I go ahead with the second chapter.
I am attaching a pdf of the colab notebook:
LoRA_JAX Colab.pdf
Fixes #186