modelscope / modelscope/ms-swift
[RFC] Support LightReasoner Algorithm
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 15.7k
- Forks
- 1.7k
- Avg merge
- 1d 16h
- Merged PRs (30d)
- 136
Description
Describe the feature
港大提出LightReasoner：让小模型教大模型“关键推理”，效率提升90%！
Paste any useful information
论文：LightReasoner: Can SMALL Language Models Teach LARGE Language Models Reasoning?
链接：https://arxiv.org/abs/2510.07962
代码: https://github.com/HKUDS/LightReasoner
Additional context
LightReasoner这篇工作是启发性的：在AI发展的道路上，有时候 “反向思考”能带来意想不到的突破。更重要的是，这项工作可能标志着今后AI发展的一个转折点：从一味追求“更大规模、更多数据”的粗放增长，开始转向“更高效、更智能”的集约进化。当我们不再把大小模型简单地划分为“老师”和“学生”，而是看到它们之间动态的、互补的教学关系时，一个更高效、更灵活的模型进化路径就展现在我们面前。
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
No files, tests, or entry points are named in the issue. Read the linked LightReasoner paper and reference implementation first, then compare them with ms-swift's existing integration points; the issue does not define acceptance criteria for what support would include.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100