modelscope / modelscope/ms-swift
Support Orthogonal Subspace Fine-Tuning
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- Dominant language
- Python
- Stars
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- Forks
- 1.7k
- Avg merge
- 1d 16h
- Merged PRs (30d)
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Description
Describe the feature
Please describe the feature requested here(请在这里描述需求)
Support Orthogonal Subspace Fine-Tuning for Continue Learning https://github.com/huggingface/peft/pull/2685
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Paste any useful information, including papers, github links, etc.(请在这里描述其他有用的信息，比如相关的论文地址，github链接等)
Additional context
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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 reviewing the requested Orthogonal Subspace Fine-Tuning feature and the referenced PEFT pull request at github.com/huggingface/peft/pull/2685. Compare the proposal with ms-swift's existing continue-learning and PEFT integration, then identify the relevant entry points and tests. Done means the feature is supported for continue learning and its behavior is covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100