lm-sys / lm-sys/FastChat

Version 0.2.22 support model vicuna-13b-v1.5-16k, but why are Max output tokens 976 yet?

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Python
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Description

Version 0.2.22 of Fastchat supports model vicuna-13b-v1.5-16k, but why are Max output tokens yet 976?
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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported behavior for vicuna-13b-v1.5-16k on FastChat version 0.2.22 and inspect how the interface computes its Max output tokens value. The issue is resolved when the token limit is explained or corrected for that model.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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