The title, pretty much.
I’m wondering whether a 70b model quantized to 4bit would perform better than a 7b/13b/34b model at fp16. Would be great to get some insights from the community.
The title, pretty much.
I’m wondering whether a 70b model quantized to 4bit would perform better than a 7b/13b/34b model at fp16. Would be great to get some insights from the community.
Yes llama.cpp will automatically split the model to work across GPUs. You can also specify how much of the full model should be on each GPU.
Not sure on AMD support but for nvidia it’s pretty easy to do.