modelscope / modelscope/ms-swift
Finetuned OSS through swift but deployed through native vllm produces only the reasoning content with actual content as empty ' '
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- Dominant language
- Python
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Description
I have finetuned the gpt-oss 20b model for 1 epoch, with a good balance of low medium and high reasoning datapoints but when deployed through vllm it produces "" in actual content and produces the correct reasoning.
Is there something that is being missed or how to retain the base model behaviour.
Contributor guide
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 comparing the Swift finetuning setup with native vLLM deployment for the gpt-oss 20b model, focusing on the response where reasoning is present but actual content is empty. The issue names no files, tests, commands, or entry points, so a minimal reproduction and the relevant training and serving configuration are needed. Done means identifying the cause and documenting a reproducible configuration or correction.
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