modelscope / modelscope/ms-swift
Qwen3.5系列模型评测时不断卡住
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- Python
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Description
Checklist / 检查清单
- I have searched existing issues, and this is a new bug report. / 我已经搜索过现有的 issues,确认这是一个新的 bug report。
Bug Description / Bug 描述
Qwen3.5评测时卡住。
How to Reproduce / 如何复现
脚本如下:
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 swift eval --model megatron_output/Qwen3.5-35B-A3B/exp1-1/checkpoint-8600-merged --eval_backend Native --infer_backend transformers --eval_dataset mmmu real_world_qa omni_doc_bench --enable_thinking false
ms-swift 的版本4.0.2
transformers==5.2.0
Additional Information / 补充信息
Qwen3.5系列的评测经常正常一会,马上重复
[INFO:swift] {'num_prompt_tokens': 0, 'num_generated_tokens': 0, 'num_samples': 0, 'runtime': 20.01921532, 'samples/s': 0.0, 'tokens/s': 0.0}
一直retry
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 with the reported swift eval command using Native evaluation, the transformers inference backend, and the listed datasets. Reproduce with ms-swift 4.0.2 and transformers 5.2.0, then follow the retry path after the zero-sample runtime log. Done means the Qwen3.5 evaluation completes without repeatedly retrying.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100