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Everything runs with a single 80-GB A100 GPU. I don't think it the code can work on multiple GPUs, but if you have 80GBs, this should work fine with a single GPU.
The code provided in the repo is the exact code we used for all experiments. We did not use quantization, but you can try, although it may effect the results.
Thank you for submitting a good paper. I have three questions regarding gpu
Is there a way to make the code work using multiple GPUs?
What GPU was it trained on?
Did you use a model that applied quantization when learning concept embedding?
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