https://huggingface.co/deepnight-research
I’m not affiliated with this group at all, I was just randomly looking for any new big merges and found these.
100B model: https://huggingface.co/deepnight-research/saily_100B
220B model: https://huggingface.co/deepnight-research/Saily_220B
600B model: https://huggingface.co/deepnight-research/ai1
They have some big claims about the capabilities of their models, but the two best ones are unavailable to download. Maybe we can help convince them to release them publicly?
We need some 4090s with 500gb VRAM modified in China if possible.
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.
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