Exactly how I plan to deploy LLMs on my desktop 😹
You should be able to fit a model like LLaMa2 in 64GB RAM, but output will be pretty slow if it’s CPU-only. GPUs are a lot faster but you’d need at least 48GB of VRAM, for example two 3090s.
Amazon had some promotion in the summer and they had a cheap 3060 so I grabbed that and for Stable Diffusion it was more than enough, so I thought oh… I’ll try out llama as well. After 2 days of dicking around, trying to load a whack of models, I spent a couple bucks and spooled up a runpod instance. It was more affordable then I thought, definitely cheaper than buying another video card.
As far as I know, Stable Diffusion is a far smaller model than Llama. The fact that a model as large as LLaMa can even run on consumer hardware is a big achievement.
I need it just for the initial load on transformers based models to then run them in 8 bit. It is ideal for that situation
