modelscope / modelscope/ms-swift
embedding推理加速
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- Dominant language
- Python
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Description
如题 使用 pt 或者 vllm部署 embedding 模型如 GME 的时候，推理速度依然很慢，发现推理过程中 GPU 并不是连续使用的，请问怎么进行加速？
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 entry point is identified. Start by reproducing embedding inference with PT or vLLM and a model such as GME, then inspect where GPU utilization becomes intermittent; done would require a measured speed improvement and clearer GPU utilization evidence.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100