lm-sys / lm-sys/FastChat

can i know when will our model can be added to the MT-Bench

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Dominant language
Python
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Description

our model achieved the best scores on MT-Bench's 7b-level with fewer samples and shorter context length~
below is our pr~
https://github.com/lm-sys/FastChat/pull/2296

Contributor guide

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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 reviewing the referenced PR #2296 and the MT-Bench integration context in FastChat. Confirm whether the model is already covered by that PR; the work is done when the model is officially included in MT-Bench or the project gives a clear status.

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Assessment

Tech stack
python
Domain
ai, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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