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Hi,
I just came across this repo and it looks brilliant for fine tuning!
I am using docker and was able to build and run the image:
docker run -i -t --name ai-toolkit --gpus all ai-toolkit /bin/bash
I am getting a deprecation notice:
************************* ** DEPRECATION NOTICE! ** ************************* THIS IMAGE IS DEPRECATED and is scheduled for DELETION. https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/support-policy.md ______ ______ _ (_____ \ (_____ \ | | _____) ) _ _ ____ _____) )___ __| | | __ / | | | || _ \ | ____// _ \ / _ | | | \ \ | |_| || | | || | | |_| |( (_| | |_| |_||____/ |_| |_||_| \___/ \____| For detailed documentation and guides, please visit: https://docs.runpod.io/ and https://blog.runpod.io/
BTW, still using cuda 12.2 drivers so it's working fine btw! thought to let you know.
cuda 12.2
Other things: the image size is about 20GB
20GB
The text was updated successfully, but these errors were encountered:
the deprecation warning has disappeared now. but the image size is still too big i.e. 20GB!
thanks
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Hi,
I just came across this repo and it looks brilliant for fine tuning!
I am using docker and was able to build and run the image:
I am getting a deprecation notice:
BTW, still using
cuda 12.2
drivers so it's working fine btw! thought to let you know.Other things:
the image size is about
20GB
The text was updated successfully, but these errors were encountered: