deepspeedai / deepspeedai/DeepSpeed
How to perform inference MoE model with expert parallel
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- Dominant language
- Python
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Description
Hello, I want to perform inference on the HuggingFace MoE model Qwen1.5-MoE-A2.7B with expert parallelism using DeepSpeed in a multi-GPU environment. However, the official tutorials are not comprehensive enough, and despite reviewing the documentation, I still don't know how to proceed.
Could you please help me refine this request?
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 the official DeepSpeed tutorials and documentation, then compare their inference and expert-parallel guidance with the Qwen1.5-MoE-A2.7B model. Done would be a comprehensive, reproducible explanation of how to perform this multi-GPU inference, including the missing steps identified by the request.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python, pytorch
- Domain
- distributed-systems, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100