Exactly how I plan to deploy LLMs on my desktop 😹

@j4k3@lemmy.world
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31Y

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

That does make a lot of sense

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.

*laughs in top of the line 2012 hardware 😭

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 had couple 13B models loaded in, it was ok. But I really wanted a 30B so I got a runpod. I’m using it for api, I did spot pricing and it’s like $0.70/hour

I didn’t know what to do with it at first, but when I found Simply Tavern I kinda got hooked.

UFO
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21Y

Same. I’m patient

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