I've been seeing a lot of projects that let one use large models on machines with small amounts of memory. They seem to all be doing significant quantization an

I've been seeing a lot of projects that let one use large models on machines with small amounts of memory. They seem to all be doing significant quantization and/or expert streaming. What's the benefit of these projects over something like taking an unsloth quant and running llama.cpp with appropriate flags (-cmoe/-mmap) to manage VRAM vs RAM vs SSD?