BFCL May 14th Release (GPT-4o and Gemini) #426
Merged
Conversation
This file contains 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
|
Reviewed costs and synced the most up-to-date costs with various model providers. |
ShishirPatil
approved these changes
May 15, 2024
devanshamin
pushed a commit
to devanshamin/gorilla
that referenced
this pull request
Jul 9, 2024
This PR makes 3 models(4 entries) available for inference on BFCL: - gpt-4o-2024-05-13 (Function Calling Mode and Prompting Mode) - gemini-1.5-pro-preview-0514 (Function Calling Mode) - gemini-1.5-flash-preview-0514(Function Calling Mode) You can start the evaluation by running `python openfunctions_evaluation.py --model MODEL_NAME` and get score by running `python ./eval_runner.py --model MODEL_NAME`. For more detail, refer to Readme under the BFCL page. Score changes are reflected in ShishirPatil#428 . This PR also updated different models' pricing: - For Gemini, when prompts are less than 128K tokens, the new Gemini series' prices are lowered by around half(https://ai.google.dev/pricing). All the BFCL test cases are less than 128K tokens. - For Anthropic Models, the prices have decreased for claude-2.1 and Claude-instant-1.2 which have updated accordingly - For Mistral Models, the prices have been halved for Mistral-large and Mistral-Small - For OpenAI Models, we have corrected GPT-3.5-turbo-0125 to the price it should have --------- Co-authored-by: Huanzhi Mao <huanzhimao@gmail.com>
aw632
pushed a commit
to vinaybagade/gorilla
that referenced
this pull request
Aug 22, 2024
This PR makes 3 models(4 entries) available for inference on BFCL: - gpt-4o-2024-05-13 (Function Calling Mode and Prompting Mode) - gemini-1.5-pro-preview-0514 (Function Calling Mode) - gemini-1.5-flash-preview-0514(Function Calling Mode) You can start the evaluation by running `python openfunctions_evaluation.py --model MODEL_NAME` and get score by running `python ./eval_runner.py --model MODEL_NAME`. For more detail, refer to Readme under the BFCL page. Score changes are reflected in ShishirPatil#428 . This PR also updated different models' pricing: - For Gemini, when prompts are less than 128K tokens, the new Gemini series' prices are lowered by around half(https://ai.google.dev/pricing). All the BFCL test cases are less than 128K tokens. - For Anthropic Models, the prices have decreased for claude-2.1 and Claude-instant-1.2 which have updated accordingly - For Mistral Models, the prices have been halved for Mistral-large and Mistral-Small - For OpenAI Models, we have corrected GPT-3.5-turbo-0125 to the price it should have --------- Co-authored-by: Huanzhi Mao <huanzhimao@gmail.com>
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 makes 3 models(4 entries) available for inference on BFCL:
You can start the evaluation by running
python openfunctions_evaluation.py --model MODEL_NAMEand get score by runningpython ./eval_runner.py --model MODEL_NAME. For more detail, refer to Readme under the BFCL page.Score changes are reflected in #428 .
This PR also updated different models' pricing: