llama.cpp setup on Windows 11 with AMD or Nvidia

This tutorial walks through installing llama.cpp on Windows 11 using prebuilt binaries. The speaker starts with a brief account of using LM Studio, then moves to the command-line setup to run models locally.

The download walkthrough leads to GitHub releases and distinguishes CPU builds from GPU options. It identifies CUDA builds for Nvidia cards and selects Vulkan for the speaker's AMD card. After extracting the archive and renaming the folder to llama, the speaker opens CMD and uses CD to enter that folder. The demonstration uses downloaded executables rather than compiling the project.

For inference, the speaker chooses llama-server and downloads a model from Hugging Face's Files and versions tab. The selected quantization is described as Q4KM. The speaker suggests that the small model will probably fit on a GPU with 4 GB of VRAM; this is an estimate, not a demonstrated hardware requirement. The spoken model name is unclear.

The final steps point the server at the model in the parent Downloads folder, start it, and open its link to reach a browser chat interface. Viewers get a short local LLM setup walkthrough, though the transcript does not supply the complete launch command or cover troubleshooting.