modelscope / modelscope/ms-swift
使用swift训练qwen3_next，效率很低是否是正常现象？
Open
Nobody has claimed this yet.
enhancement
stale
- Dominant language
- Python
- Stars
- 15.7k
- Forks
- 1.7k
- Avg merge
- 1d 16h
- Merged PRs (30d)
- 136
Description
https://github.com/modelscope/ms-swift/blob/main/examples/models/qwen3_next/transformers.sh
这个脚本有人跑过吗？训练效率如何？
我试验使用swift训练qwen3_next的时候，GPU的利用率接近于0，请问这是正常的吗？
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 reading examples/models/qwen3_next/transformers.sh and reproduce the reported training run while recording GPU utilization and throughput. Done means determining whether near-zero GPU utilization is expected for this configuration and documenting a clear diagnosis or configuration change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100