Run GPU supported LLM inside container with devcontainer

[Kiran1689]

/claim #4

fixes #4

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[Kiran1689]

@mojafa Can you please review this? If possible, please assign the issue to me

[mojafa]

@Kiran1689 I believe you can use Daytona without spinning up a Linux server/vm on cloud. Specify all the necessary packages and images in a Dockerfile and have it in your devcontainer folder. something like that

[Kiran1689]

Updated @mojafa

[mojafa]

@Kiran1689 thansk for incorporating the changes. I'll get a Linux VM tomorrow and test the code.

[Kiran1689]

Sure @mojafa
Thanks!

[mojafa]

@Kiran1689 Thank you so much for your patience and responses. I've finaally manged ot get around to test this PR.

Nice stuff, managed to get the GPU based VM, installed docker, daytona, git, nvidia, nano and vscode. Wow that was a mouthful one!

Was able to run nvidia-smi, daytona create the repo and open my workspace in the Terminal SSH, wrote my hugging face access token, and tested your python samples successfully.

daytona

[mojafa]

As discussed please fix the intros, and the TL;DR sections, also run the article once through Grammarly or something like that! Good stuff man!

[Kiran1689]

Thanks for your cooperation, @mojafa 🙏

Updated the changes

[mojafa]

@nkkko This PR meets the requirements. Please check