GTPQ has been the missing piece, it allows quantizing the model weights from 16 to 4 bits with only a small loss in quality.
That it turn allows running even the large 65 billion parameter version of the LLaMA model in ~33GB of RAM or VRAM.
With VRAM that requires two 24GB GPUs which is no longer completely out of reach.
The model running in the browser is a smaller version with 7 billion parameters, which is good enough for some things.
With VRAM that requires two 24GB GPUs which is no longer completely out of reach.
The model running in the browser is a smaller version with 7 billion parameters, which is good enough for some things.