thu-ml / thu-ml/TurboDiffusion
sla是全参微调吗，还是只训练SparseLinearAttention？
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- Dominant language
- Python
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- 3.7k
- Forks
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- Avg merge
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- Merged PRs (30d)
- 2
Description
This issue has no description.
Contributor guide
No contributing guide indexed for this repository
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 contains only a Chinese question and names no files, tests, or entry points. Start by locating the repository's SLA training documentation and implementation, then determine whether training covers all model parameters or only SparseLinearAttention; done means documenting that scope clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100