lm-sys / lm-sys/FastChat

support finetune on Qwen14B

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#2,476 10 comments 1 reaction 0 assignees View on GitHub

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Dominant language
Python
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Description

Please add support finetune for Qwen, curretnly the model sft will got a 0 loss using default training script, hardly to know why.

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 with the repository's default training script and reproduce SFT on Qwen14B, recording why the loss is always zero. Trace the existing model fine-tuning path and compare Qwen handling with supported models. Done means Qwen14B fine-tuning runs successfully and reports a meaningful loss.

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
25/100

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