RuntimeError: Expected q_dtype == torch::kFloat16 || (is_sm8x && q_dtype == torch::kBFloat16) to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)
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Description
When I was training Vicuna-7b on the A100 (40g) graphics card, this error occurred. Has anyone resolved this error and successfully trained? RuntimeError: Expected q_dtype == torch::kFloat16 || (is_sm8x && q_dtype ==
torch::kBFloat16) to be true, but got false. (Could this error message be
improved? If so, please report an enhancement request to PyTorch.)
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
No file, test, traceback, or training command is named. Start by reproducing Vicuna-7b training on the A100 using the reported configuration and inspect the dtype assertion; done means identifying a reproducible resolution or a clearly specified improvement to the error message.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100