this post was submitted on 28 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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We need some 4090s with 500gb VRAM modified in China if possible.
the devs mentioned that the 600B model takes about 1,3TB space alone..
Make it 0.01bpm quantized and you will fit in good ol' 3090.
Give it 5 years with the Mac Studio. Next year 256gb, will go up real quick.
Honestly, a 4bit quantized version of the 220B model should run on a 192GB M2 Studio, assuming these models could even work with a current transformer/loader.
We need some hero to develop an app that downloads more GPU memory like those apps back in the 90's.
/s
I wonder if there's any real demand for even 48GB 4090s enough to incentives somebody to do it. I bet the hardware/electronics part of it is trivial, tho.
If people started doing this with any regularity, nVidia would intentionally bork the drivers.