Add benchmark results for deepcogito/cogito-v2.1-671b #171
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
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
This PR adds benchmark results for the deepcogito/cogito-v2.1-671b model.
The following files have been updated:
src/benchmark/results.json- Raw benchmark resultssrc/benchmark/validation-results.json- Validation results against human baselineThis PR was automatically generated by the benchmark workflow.
Note: If you don't want to merge this PR, close it and the model will be added to the untested list to prevent re-processing.
@alrocar
Note
Adds
deepcogito/cogito-v2.1-671bvalidation results across all benchmark queries with per-query SQL and aggregate metrics (0 matches).deepcogito/cogito-v2.1-671bentries insrc/benchmark/validation-results.jsonacross many queries.sql,matches/exactMatches/numericMatches(mostly false), and distance metrics.summary.models(all zeros; avg distances ~0.98).Written by Cursor Bugbot for commit 6a88b7f. This will update automatically on new commits. Configure here.