OptimalScale / OptimalScale/LMFlow
[DPO is available?]
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.5k
- Forks
- 822
- PR merge metrics
- No merged PRs in 30d
Description
Is your feature request related to a problem? Please describe.
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Describe the solution you'd like
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Describe alternatives you've considered
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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
No files, tests, or entry points are identified, and the body is only the unused feature-request template. First clarify what DPO support should cover and where it belongs in LMFlow; a complete scope, affected entry points, and acceptance criteria are needed before implementation can start.
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
- 10/100