Justin Law

Hey all, I made an attempt to replicate what @arikmaor had done and I have it working on our Lambda cloud instance. Also took the opportunity to provide more updated...

Hi, I'm also curious about this. It seems the licenses are a bit conflicting, or rather this GH says Apache 2.0 but HF says Llama 2.0.

This PR is out of date, and this part clarifies it enough for the user: https://github.com/LargeWorldModel/LWM/blob/main/README.md#setup

I am also having a similar problem. I tried uninstalling cuda-12.2 and cudaNN-9.x, and installing and pointing at cuda-11.8.0. I also used the pip-based command in the instructions and set...

@bestasoff @Benny739 I was able to fix this particular issue by uninstalling all of the NVIDIA dependencies for cuda12.x, and just reinstalling cuda11.8. Now, I am running into a different...

If you are installing CUDA via pip in a virtual environment (and the same goes for on host, VM, or in a container): ```bash # point to VENV's local CUDA...

Blocked by #968

Some Defense Unicorns related resources: - https://github.com/defenseunicorns/zarf-package-rke2-init - https://github.com/defenseunicorns/uds-rke2-image-builder - https://github.com/defenseunicorns/uds-prod-infrastructure - https://github.com/defenseunicorns/uds-core

Asked for help and clarifications via [this thread](https://defense-unicorns.slack.com/archives/C06QJAUHWFN/p1711465320800559) for this UDS RKE2 resource: https://github.com/defenseunicorns/uds-rke2-image-builder

Resources GPU pass through in `linux/amd64`, Intel, NVIDIA, and `virt-manager` + `qemu`. Required for clean Ubuntu server VM setup during local development and testing. - https://github.com/bryansteiner/gpu-passthrough-tutorial - https://youtu.be/KVDUs019IB8?si=QI5OqyeiuhkoRVL-