Llama 3.1 - Wrong context length reported in `/token_check` endpoint
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- Python
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Description
When the Llama 3.1 70B model is loaded in FastChat, the /token_check endpoint reports a context length of 1M instead of the expected 128K.
{
"prompts": [
{
"fits": true,
"tokenCount": 2,
"contextLength": 1048576
}
]
}
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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
Start by tracing the /token_check endpoint and how it obtains the context length for the Llama 3.1 70B model. Compare its response with the expected 128K limit and verify that the endpoint reports the corrected value while preserving the token count and fit result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100