So you start there and eventually you want to get off the happy path, then you need to learn more about the server and it's all so much more complicated than just using ollama. You just want to try models, not learn the intricacies of hosting LLMs.
So you start there and eventually you want to get off the happy path, then you need to learn more about the server and it's all so much more complicated than just using ollama. You just want to try models, not learn the intricacies of hosting LLMs.
One thing I haven't figured out: Subjectively, it feels like ollama's model loading was nearly instant, while I feel like I'm always waiting for llama.cpp to load models, but that doesn't make sense because it's ultimately the same software. Maybe I should try ollama again to convince myself that I'm not crazy and that ollama's model loading wasn't actually instant.
I'm not sure I follow, what alternative to CUDA on Linux offers similar performance?
Nevertheless, worth looking at the Vulkan builds. They work on all GPUs!
My distro (NixOS) has binary packages though...
And there's packages in the AUR (Arch), GURU (Gentoo), and even Debian Unstable. Now, these might be a little behind, but if you care that much you can download binaries from GitHub directly.