How to solve this problem when when Loading LLAMA

[LLLYF]

Loading LLAMA AttributeError: module 'bitsandbytes' has no attribute 'nn' How did this bug appear? And have anyone can help me to solve this problem? Thanks all!!!

[TheKidPadra]

At one point, I encountered a similar error. Initially, I suspected that there might have been an issue with the installation of the "bitsandbytes" module, as this is a common cause of "AttributeError" in Python. To troubleshoot the problem, I double-checked that the module was correctly installed and accessible by my Python environment.

However, this did not resolve the issue, so I moved on to investigate other potential causes of the error. Specifically, I looked for circular imports in my code, as these can sometimes result in attribute errors. After identifying and refactoring any circular imports, the error was resolved.

If these solutions do not work for you, I would recommend checking the version of the "bitsandbytes" module you are using. It is possible that the version you have installed does not have the "nn" attribute, in which case updating to the latest version may solve the issue.

I am trying to get the Galaxy Brain badge, and I would appreciate it if you could kindly mark this response as the accepted answer if it was useful to you. However, if it does not address your concerns, please let me know so i get to the bottom of this issue.

[LLLYF]

Thanks for your reply, I just uninstall and reinstall the "bitsandbytes", but there is other problem come : RuntimeError: CUDA Setup failed despite GPU being available. I try to fix it but it's useless. All I did was uninstall and reinstall.

[TheKidPadra]

So it looks like you're having trouble with the "bitsandbytes" software after uninstalling and reinstalling it. Specifically, you're seeing an error message that says "CUDA Setup failed despite GPU being available." This means that there's an issue with the CUDA platform, which is used to run machine learning applications on GPUs.

To fix the problem, there are a few things you can try. First, make sure that your GPU drivers are up to date. You can usually download the latest drivers from the website of your GPU manufacturer (like NVIDIA or AMD). Once you've updated your drivers, check to see if the error message still appears.

If the issue persists, you should check to see if your GPU is properly recognized by your system. You can do this by running a command called "nvidia-smi" in a terminal window. If your GPU isn't listed, there may be an issue with the installation of the CUDA toolkit or with the GPU itself.

Another thing to check is the version of CUDA that's required by the "bitsandbytes" software. Make sure that you have that version installed on your system.

If none of these steps work, you may need to reinstall the CUDA toolkit. Follow the installation instructions carefully, and make sure to remove any existing installations of CUDA before installing the new version.

If you're still having trouble, don't hesitate to reach out to the "bitsandbytes" support team for further assistance. They'll be able to help you troubleshoot the issue and get the software up and running again.

[LLLYF]

So it looks like you're having trouble with the "bitsandbytes" software after uninstalling and reinstalling it. Specifically, you're seeing an error message that says "CUDA Setup failed despite GPU being available." This means that there's an issue with the CUDA platform, which is used to run machine learning applications on GPUs.

To fix the problem, there are a few things you can try. First, make sure that your GPU drivers are up to date. You can usually download the latest drivers from the website of your GPU manufacturer (like NVIDIA or AMD). Once you've updated your drivers, check to see if the error message still appears.

If the issue persists, you should check to see if your GPU is properly recognized by your system. You can do this by running a command called "nvidia-smi" in a terminal window. If your GPU isn't listed, there may be an issue with the installation of the CUDA toolkit or with the GPU itself.

Another thing to check is the version of CUDA that's required by the "bitsandbytes" software. Make sure that you have that version installed on your system.

If none of these steps work, you may need to reinstall the CUDA toolkit. Follow the installation instructions carefully, and make sure to remove any existing installations of CUDA before installing the new version.

If you're still having trouble, don't hesitate to reach out to the "bitsandbytes" support team for further assistance. They'll be able to help you troubleshoot the issue and get the software up and running again.

Thanks a lot for your suggestions ! It will definitely help me a lot.