External Resources
This section provides a collection of links to official documentation, software repositories, and community hubs.
🧠 Key Concept: What are “References”?
Think of this section as your “Library of Experts.” While this guide explains how to use llama.cpp, these links take you to the original creators and the wider community of experts who build and discuss the tools you are using.
🔗 Official Links
- llama.cpp GitHub Repository: The source of truth. Check here for the latest features, installation updates, and bug reports.
- Hugging Face: The primary platform for discovering and downloading GGUF models.
🛠️ Hardware & Driver Documentation
If you are troubleshooting GPU issues, these official guides are essential:
- NVIDIA CUDA Documentation: Detailed technical documentation for CUDA developers.
- AMD ROCm/HIP Documentation: Official resources for AMD’s GPU acceleration platform.
📚 Community & Learning
- llama.cpp Wiki: Often contains community-contributed tutorials and advanced usage tips.
- Reddit r/LocalLLaMA: A massive community dedicated to running LLMs locally. Great for news, model recommendations, and troubleshooting.
💡 How to use these links
If you encounter a specific error message or want to learn about a very advanced feature, searching within these websites is often more effective than searching on Google. For example, if you have a CUDA error, start by searching the NVIDIA documentation or the llama.cpp GitHub “Issues” page.
Last Updated: 2026-05-03