[Question] Do we support the SAO method used in the training of GLM-5.2
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question
- Dominant language
- Python
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Description
Your Question
Do we have plan open source of the SAO and CompactionRL methods used in the training of GLM-5.2
What I've Tried
nothing
Environment (if relevant)
- slime version:
- Python version:
- PyTorch version:
- CUDA/ROCm version:
- GPU type and count:
- OS:
Additional Context
No response
Pre-submission Checklist
- I have read the CONTRIBUTING.md and understand the collaboration scope.
- I have read the documentation and FAQ and my question is not answered there.
- I have searched for existing issues and my question has not been asked before.
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 source file, test, or implementation entry point is identified. Start with the linked documentation and FAQ, then review the project scope around RL post-training to determine whether SAO or CompactionRL support is planned. Done means documenting a clear maintainer answer about support or open-sourcing plans.
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
- 25/100