this post was submitted on 27 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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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.

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[–] yeawhatever@alien.top 1 points 11 months ago (2 children)
[–] harrro@alien.top 1 points 11 months ago (1 children)

Using Q3, you can fit it in 36GB (I have a weird combo of RTX 3060 with 12GB and P40 with 24GB and I can run a 70B at 3bit fully on GPU).

[–] Dry-Vermicelli-682@alien.top 1 points 11 months ago (1 children)

So you have 2 GPUs on single m/b.. and the llama.cpp thing knows to use both? Does this work with AMD GPUs too?

[–] harrro@alien.top 1 points 11 months ago

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.

[–] Dry-Vermicelli-682@alien.top 1 points 11 months ago (1 children)

44GB of GPU VRAM? WTH GPU has 44GB other than stupid expensive ones? Are average folks running $25K GPUS at home? Or those running these like working for company's with lots of money and building small GPU servers to run these?

[–] MiniEval_@alien.top 1 points 11 months ago (1 children)

Dual 3090/4090s. Still pricey as hell, but not out of reach for some folks.

[–] Dry-Vermicelli-682@alien.top 1 points 11 months ago (1 children)

So anyone wanting to play around with this at home, has to expect to drop about 4K or so for GPUs and a setup?

[–] drifter_VR@alien.top 1 points 11 months ago

I can get 2 3090 for 1200€ here on the second-hand market