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kungfu-eric avatar kungfu-eric commented on August 28, 2024

Something is up with the finetune code. Even 2x40GB with base model and code size 1, GPU mem hits 25GB then tries to allocate 25GB more and OOM.

  File "/home/amicus/atlas/src/index.py", line 111, in load_index
    self.embeddings = torch.concat(embeddings, dim=1)
RuntimeError: CUDA out of memory. Tried to allocate 22.99 GiB (GPU 1; 47.54 GiB total capacity; 23.00 GiB already allocated; 22.92 GiB free; 23.00 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

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DanialPahlavan avatar DanialPahlavan commented on August 28, 2024

is it possible to train and test a model using the free version of Google Colab without the need for high-end GPU?
I'm a student and I want to train and test this model.

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