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.

Sign up for GitHub

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

Jump to bottom

How to finetune from a consolidated model ? #699

Open

GongZhengLi opened this issue Apr 4, 2023 · 1 comment

Labels

question

GongZhengLi commented Apr 4, 2023

There are the ways to reshard the trained model to inference model, but how to retrain the model from the consolidated model ? (like llama)

GongZhengLi added the question label

Contributor

zycalice commented Apr 25, 2023

you can convert the consolidated model offline into as many shards as you like using reshard_consolidated.py

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment