Earlier quoted context omitted.
The main constraint on consumer GPUs is the VRAM - you can pretty much always do inference reasonably fast on any model that you can fit. And most of that VRAM is the loaded parameters, so yes, this should help with running better models locally. I wonder how much they'd be able to trim the recent QwQ-32b. That thing is actually good enough to be realistically useful, and runs decently well with 4-bit quantization, w…
You can run Models up to 128GB on a MacBook Pro Max. So we're already at a point where you can run all but the biggest frontier models on consumer hardware.
But perhaps that's just me…