4 ms·

>somehow that produces coherent results with or without finetuning? Also is there a practical motivation for creating them?

• keonix 3y ago
  > 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
  • ShamelessC 3y ago
    > With, but it's still bonkers that it works so well Ehhhh…