MT-bench (llm_judge) error with Llama3: <class 'openai.error.InvalidRequestError'> This model's maximum context length is 8192 tokens
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Description
I tried to test the MT-bench score for the Meta-Llama3-8B-Instruct model, and it keeps popping maximum context length errors
This model's maximum context length is 8192 tokens. However, your messages resulted in 8921 tokens. Please reduce the length of the messages.
Thus the resulting score is low, only 7.42
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file or test is named. Start by locating the MT-bench llm_judge entry point and reproducing the evaluation with Meta-Llama3-8B-Instruct, then determine where the 8,921-token request is assembled. Done means the evaluation completes without exceeding the model's 8,192-token context limit and produces a valid score.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100