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lixin4ever avatar lixin4ever commented on May 27, 2024

We use 8*A100-80G during both pre-training and fine-tuning. We haven't yet tested on other GPUs with less memory but I think decreasing batch size per gpu while keeping the global batch size identical should work

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aixiaodewugege avatar aixiaodewugege commented on May 27, 2024

Thanks for your reply!

How much GPU memory is needed at the inference stage? I noticed you are using A100. Can I use one 3090? And can I use multi GPUS to inference?

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lixin4ever avatar lixin4ever commented on May 27, 2024

Given Vicuna-7B as language decoder, >24GB for VL-only Video-LLaMA (i.e., the previous version of LLaMA) and >40GB for the current version of LLaMA. These numbers are just based on our observation and may not be very accurate.

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QYY1028 avatar QYY1028 commented on May 27, 2024

Hi, thanks for your brilliant work. I want to finetune the model on my dataset. Can it be done with 4 * 3090? Or how much GPU memory is necessary?

Hi, have you successfully finetuned the model with 4*3090?

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