llama.cpp: LLM Inference in C/C++

Repositoryggml-org/llama.cppTool

llama.cpp is an open-source C/C++ project by ggml-org dedicated to LLM inference. Boasting over 127,000 GitHub stars, it provides pre-built binaries, Docker containers, REST APIs, and C library bindings for executing language models.

Key points

  1. Specialised in LLM inference, written in C/C++ around the GGML ecosystem.
  2. Multiple installation paths: pre-built binaries, Docker, Winget, or building from source.
  3. Provides both a native C library (lib llama API) and a HTTP server (llama-server REST API).
  4. Published under the MIT licence with over 127,000 stars and 22,000 forks on GitHub.

Why it matters

It offers developers a lightweight, dependency-free method to run LLMs natively in C/C++ without requiring heavy Python environments. The bundled REST server and Docker support make local or self-hosted deployment straightforward.

Analysis

llama.cpp solves the challenge of running efficient, portable LLM inference in C/C++. Using C++ and the GGML tensor library, it targets developers, system integrators, and infrastructure engineers running local or server-side inference. With over 127,000 stars, 22,000 forks, continuous releases, an active maintainer team, and structured APIs for both C and REST, the repository exhibits an exceptionally high degree of maturity.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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