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Outdated suggestions cannot be applied.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