Most guides to running a language model locally assume a big GPU or a long setup: Python, the CUDA Toolkit, a build step. This one does not. In three steps you will have Qwen3-4B, a 4-billion-parameter chat model, answering in your browser from a 1.24 GB file, on the kind of NVIDIA GPU that ships in an ordinary gaming laptop. We use our own open-source build for this (Pingala-8, a patched llama.cpp), so we will also be clear about where it falls short. Who this is for You ha...