[Translation] Running an LLM Locally on Windows: WSL2, Docker, CUDA, and vLLM

Almost all instructions for running an LLM on your own computer are one or two commands in the terminal. A new translation guide offers a different path: WSL2, Docker, CUDA, and vLLM. This is no longer a quick recipe, but a breakdown of the entire stack for Windows. According to the author's note, the one-or-two-command approach does not always work. The practical benefit is simple: with this guide, you can go through the path to running a model locally yourself. If you want to understand what stands behind a single command, this material is precisely about how the whole stack works.