CUDA out of memory for local copy of llava-v1.5-13b

[aymenabid-lab]

How to resolve memory problem?
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.00 MiB. GPU 0 has a total capacty of 7.75 GiB of which 8.06 MiB is free. Including non-PyTorch memory, this process has 7.73 GiB memory in use. Of the allocated memory 7.60 GiB is allocated by PyTorch, and 7.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Ex, How use a Low Batch Size...?

NB
The error is using
python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path /home/dl_g15/llava-v1.5-13b
and also, for
CUDA_VISIBLE_DEVICES=0,1 python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path /home/dl_g15/llava-v1.5-13b

Additional information are in images

Thank you