Before it
Running a model meant Python, CUDA and a datacentre GPU.
The problem
Most people have a laptop, not an A100.
What it introduced
A dependency-free C++ inference engine with quantized weights, running LLaMA on a CPU or a MacBook.
Why it matters
It created local inference as a mass activity, and GGUF became the format the whole local ecosystem shares.
What modern models inherit
The assumption that you can run a capable model on your own machine.
What came next
Ollama and the local-model tooling built on top of it.