modelscope / modelscope/ms-swift

Qwen3.5系列模型评测时不断卡住

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bug
Dominant language
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

Open the contributing guide

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 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

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