> with or without finetuning? With, but it's still bonkers that it works so well >Also is there a practical motivation for creating them? You could get in-be

> with or without finetuning? With, but it's still bonkers that it works so well >Also is there a practical motivation for creating them? You could get in-between model sizes (like 20b instead of 13b or 34b). Before better quantization it was useful for inference (if you are unlucky with vram size), but now I see this being useful only for training because you can't train on quants