[Question] Support for DeepSeek V4?
Maintainers usually reply within 1 day
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start by reviewing the slime documentation, FAQ, and CONTRIBUTING.md, then identify whether they describe DeepSeek V4 support or model-integration guidance. Done would require a confirmed support path or a clearly scoped list of modifications needed to train or fine-tune DeepSeek V4.
Written by the indexing model from the issue text.
Description
Your Question
Hi slime team,
Thank you for the great work on slime.
I would like to ask whether slime currently supports training or fine-tuning DeepSeek V4 models, or whether there are any known plans / recommended modifications to support it.
If it is not officially supported yet, I would appreciate any guidance on which parts of slime would need to be modified to make it work.
Thanks!
What I've Tried
i read all the guide.
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.
- Dominant language
- Python
- Stars
- 8.8k
- Forks
- 1.3k
- Avg merge
- 20h 44m
- Merged PRs (30d)
- 25
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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