Comment by danielmarkbruce
10 hours ago
pytorch is as easy as you are going to find for your exact use case. If you can't handle the requirement of a specific version of python, you are going to struggle in software land. ChatGPT can show you the way.
I have been doing this for 25 years and no longer have the patience to deal with stuff like this. I am never going to install Arch from scratch by building the configuration by hand ever again. The same with pytorch and rocm.
Getting them to work and recognize my GPU without passing arcane flags was a problem. I could at least avoid the pain with llama-cpp because of its vulkan support. pytorch apparently doesn't have a vulkan backend. So I decided to roll out my own wgpu-py one.
FWIW, I've been experimenting with LLMs for the last couple of years, and have exclusively built everything I do around llama.cpp exactly because of the issues you highlight. "gem install hairball" has gone way too far, and I appreciate shallow dependency stacks.
Fair enough I guess. I think you'll find the relatively minor headache worth it. Pytorch brings a lot to the table.