deepspeedai / deepspeedai/DeepSpeed
Is there more detailed documentation for HF AutoTP training?
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- Python
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Description
For example, the relationship between global_rank and tp_rank / dp_rank, and how to manually all-gather parameters to a specific rank (can we use deepspeed.zero.GatheredParameters ?).
And for example, the list of supported models and how to use this feature with DeepSpeed's native API.
We are planning to try HF AutoTP in OpenRLHF.
Thanks
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 by reading the existing HF AutoTP documentation and DeepSpeed native API guidance, then identify what is missing. Done should clearly explain global_rank, tp_rank, and dp_rank; parameter gathering to a chosen rank; supported models; and use through DeepSpeed's native API.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- distributed-systems, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100