lm-sys / lm-sys/FastChat

Run the qwen model and the response is messy

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#2,473 11 comments 1 reaction 0 assignees View on GitHub

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Dominant language
Python
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Description

![image](https://github.com/lm-sys/FastChat/assets/40717349/e56498e8-8fb0-49f7-ac14-0b6bc4842c05)
![image](https://github.com/lm-sys/FastChat/assets/40717349/c51c328e-a7a8-471d-b821-65d0992cbc7c)

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

The issue provides only two screenshots and does not name files, tests, commands, or the expected response. Start by reproducing the Qwen run in FastChat and inspect the model-serving path involved. Done means identifying the cause of the messy response, documenting the expected behavior, and adding a regression test if the relevant test location can be established.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
18/100

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