Repository navigation
feat: publish inferencelab-llm-eval-kit to PyPI with INFERENCE Lab co… - #16
Merged
Merged
Conversation
…hort 01 attribution
Maazkorejo
approved these changes
Sep 24, 2026
Khubaib8281
requested changes
Sep 25, 2026
Khubaib8281
left a comment
Khubaib8281
left a comment
Member
There was a problem hiding this comment.
mention all the authors, maintainer : INFERENCE Lab, suggested name: llm-eval-kit-v1 or llm-eval-kit-pk also mention if any dependencies of the package, carefully review the .toml file before submission , changes should also reflect in the README.md file
…mmad Maaz, Warisha Arshad
Khubaib8281
approved these changes
Sep 28, 2026
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
3 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
…hort 01 attribution
What does this PR do?
[One sentence: what does this PR add, fix, or change?]
Which module(s) does it touch?
[List the files changed and why each was changed]
How did you test it?
[What tests cover this? Run: pytest <test_file> and paste the result summary]
Edge cases handled:
[What inputs could break this? How did you handle them?]
Checklist: