OpenMOSS / OpenMOSS/MOSS

3张特斯拉 P40 24G 报错,不加载模型。

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Description

可以进到顺利打开webui。 输入文字后报错。

RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

后台看2张显卡没有任何负载, cudatool 11.6
操作系统 WIn11 + AnaConda,torch 1.13.1+cu116

使用streamlit加载。
streamlit run moss_web_demo_streamlit.py --server.port 8888 -- --model_name fnlp/moss-moon-003-sft --gpu 0,1

--gpu 0,1,2 1,2都试过无用,
Win系统无法运行量化模型。

cuda驱动和gpu信息均正常显示,能运行minigpt-4.说明显卡也无故障。

有谁知道怎么回事吗?

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
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Research direction

Start with moss_web_demo_streamlit.py and reproduce the failure using the reported Streamlit command, Windows 11, Anaconda, torch 1.13.1+cu116, and the fnlp/moss-moon-003-sft model. Check the CUDA device-side assert and GPU-selection behavior for --gpu 0,1 and --gpu 0,1,2; done means the model loads and accepts text without the reported error.

Written by the indexing model from the issue text.

Assessment

Tech stack
anaconda, python, pytorch, streamlit
Domain
ai, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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