modelscope / modelscope/mcore-bridge
与NVIDIA自己的 Megatron Bridge 相比， 这个项目速度快吗
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question
- Dominant language
- Python
- Stars
- 101
- Forks
- 43
- Avg merge
- 1d 23h
- Merged PRs (30d)
- 23
Description
Checklist / 检查清单
- I have searched existing issues, and this is a new question or discussion topic. / 我已经搜索过现有的 issues，确认这是一个新的问题与讨论。
Question Description / 问题描述
兼容性会更好吗， 比如对于qwen系列的模型，是不是训练的更好
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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
The issue names no files, tests, or entry points. Start by reviewing this repository’s model and training integration with NVIDIA Megatron Bridge, then identify reproducible Qwen compatibility and performance comparisons. Done would require a documented, evidence-based comparison rather than an implementation change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100