[Question] GLM5----MTP training support
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- Python
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Description
Your Question
Any plan to support training the MTP layers jointly with the main model for GLM-5?
MTP training is incompatible with allgather_cp
https://github.com/THUDM/slime/blob/f65c6e8191044cc71291a1a87431f752420ffe91/scripts/models/glm5-744B-A40B.sh#L54
What I've Tried
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
Start with scripts/models/glm5-744B-A40B.sh at the referenced line, then trace how MTP training and allgather_cp are configured for GLM-5. No test or implementation entry point is identified; done would require a clarified scope and a maintainer-approved support plan or implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100