You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi All
i am running on nvidia gtx 1080ti (11GB Video Memory) on windows 11
i get following error on running inference_example on llama-7b-hf model
OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 11.00GiB total capacity; 10.29 GiB already allocated; 0 bytes free; 10.29 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
May i know how much memory is required to run this model locally
Also is there any work around
Thanks
The text was updated successfully, but these errors were encountered:
Hi All
i am running on nvidia gtx 1080ti (11GB Video Memory) on windows 11
i get following error on running inference_example on
llama-7b-hf
modelOutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 11.00GiB total capacity; 10.29 GiB already allocated; 0 bytes free; 10.29 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
May i know how much memory is required to run this model locally
Also is there any work around
Thanks
The text was updated successfully, but these errors were encountered: