Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

interesting new finetuning approach from stanford - ReFT #658

Open
fblissjr opened this issue Apr 6, 2024 · 0 comments
Open

interesting new finetuning approach from stanford - ReFT #658

fblissjr opened this issue Apr 6, 2024 · 0 comments

Comments

@fblissjr
Copy link

fblissjr commented Apr 6, 2024

https://github.com/stanfordnlp/pyreft

uses flash attn and pyvene (https://github.com/stanfordnlp/pyvene) but don't see any specific kernels aside from flashattn. tried this on my cuda machine and it's neat - not sure how effective at scale yet, but worth exploring. anyone else looking into this?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant