Remove early stopping from LLaMA end-to-end benchmarking#20033
Merged
kunal-vaishnavi merged 1 commit intomicrosoft:mainfrom Mar 22, 2024
Merged
Conversation
hanbitmyths
approved these changes
Mar 22, 2024
YUNQIUGUO
pushed a commit
that referenced
this pull request
Mar 25, 2024
### Description This PR removes early stopping from the end-to-end LLaMA-2 benchmark script. ### Motivation and Context This allows models to always generate the requested number of new tokens.
TedThemistokleous
pushed a commit
to TedThemistokleous/onnxruntime
that referenced
this pull request
May 7, 2024
…0033) ### Description This PR removes early stopping from the end-to-end LLaMA-2 benchmark script. ### Motivation and Context This allows models to always generate the requested number of new tokens.
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
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Description
This PR removes early stopping from the end-to-end LLaMA-2 benchmark script.
Motivation and Context
This allows models to always generate the requested number of new tokens.