Sure thing. There's a bunch of ways to do it, but here's some quick notes on what I did.

* arch linux has tons of `rocm` packages. I installed pretty much all of them: https://archlinux.org/packages/?sort=&q=rocm&maintainer=&fla...

* you also need this one package from AUR: https://aur.archlinux.org/packages/opencl-amd

* llama.cpp now has GPU support including "CLBlast", which is what we need for this, so compile with LLAMA_CLBLAST=ON

* now you can run any model llama.cpp supports, so grab some ggml models that fit on the card from https://huggingface.co/TheBloke.

* Test it out with: ./main -t 30 -ngl 128 -m huginnv1.2.ggmlv3.q6_K.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: Write a story about llamas\n### Response:"

* You should see `BLAS = 1` in the llama.cpp output and you should get maybe 5 tokens per second on a 13b 6bit quantized ggml model.

* You can compile llama-cpp-python with the same arguments and get text-generation-ui to work also, but there's a bit of dependency fighting to do it.

* koboldcpp might be better, I just haven't tried it yet

Hope that helps!

Edit: just tried https://github.com/LostRuins/koboldcpp and it also works great. I should have started here probably.

Compile with `make LLAMA_CLBLAST=1` run with ` python koboldcpp.py --useclblast 0 0 --gpulayers 128 huginnv1.2.ggmlv3.q6_K.bin`