Can anyone run to make him turn on RTX 20 series cards?

For me:

torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 28.83 GiB. GPU 0 has a total capacity of 11.00 GiB of which 3.83 GiB is free. Of the allocated memory 5.61 GiB is allocated by PyTorch, and 397.85 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

Start with the reported torch.OutOfMemoryError and the linked PyTorch CUDA memory-management documentation; the issue names no project file, entry point, or test. Done means establishing whether the reported RTX 20-series configuration is supported and recording a verified resolution or clear compatibility finding.

Written by the indexing model from the issue text.