Add results: Claude Haiku 4.5 20251001#6
Open
rhidra wants to merge 1 commit into
Open
Conversation
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
I ran a full evaluation of Claude Haiku 4.5 on Q-HumanEval and wanted to share the results with the community. Haiku is a general-purpose model with no Q-specific training, so the 25.82% Pass@1 felt like a useful baseline to have on the leaderboard, especially as a reference point for what off-the-shelf frontier models can do on Q before any fine-tuning.
Happy to answer any questions about the evaluation setup. A few quirks worth noting: the Anthropic API requires dropping top_p when temperature is set, and the rate limits on the free tier mean generation is slow — both of which I had to work around in the harness. I can submit those fixes separately if that would be useful.