[discardedrefuse]

I gave Ramalama shot today. I'm very impressed. `uvx ramalama run deepseek-r1:1.5b` just works™ for me. And that's saying A LOT, because I'm running Fedora Kinoite (KDE spin of Silverblue) with nothing layered on the ostree. That means no ROCm or extra AMDGPU stuff on the base layer. Prior to this, I was running llamafile in a podman/toolbox container with ROCm installed inside. Looks like the container ramalama is using has that stuff in there and amdgpu_top tells me the gpu is cooking when I run a query.

Side note: `uv` is a new package manager for python that replaces the pips, the virtualenvs and more. It's quite good. https://github.com/astral-sh/uv

[ecurtin]

One of the main goals of RamaLama at the start was to be easy to install and run for Silverblue and Kinoite users (and funnily enough that machine had an AMD GPU, so we had almost identical setups). I quickly realized contributing to Ollama wasn't possible without being an Ollama employee:

https://github.com/ollama/ollama/pulls/ericcurtin

They merged a one-line change of mine, but you can't get any significant PRs in.

[discardedrefuse]

I just realized that ramalama is actually part of the whole Container Tools ecosystem (Podman, Buildah, etc). This is excellent! Thanks for doing this.

[jdright]

I'll try it then, if it can get a docker setup using my GPU and no dependency hell, then good. I'll report back to correct myself once I try it.