Llama.cpp is an implementation of Meta’s LLaMA architecture in C/C++. It’s one of the most active open-source communities around LLM inference.

Why did llama.cpp become the Schelling point around LLM inference? Why not the official Python implementation by Meta? Why not something written in Tensorflow, PyTorch, or another machine learning framework rather than a bespoke one?

Runs everywhere. Llama.cpp was originally a CPU-only library. CPU-only meant magnitudes less code to work with. Writing

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Llama.cpp is an active open-source community that implements Meta's LLaMA architecture in C/C++. It runs everywhere, serves as a Schelling point for low-level features, has a custom model format, and focuses on a single model architecture.

Lessons from llama.cpp