llama.cpp is a high-performance C and C++ project for running large language models locally and in the cloud with minimal setup. It is built around efficient inference, broad hardware support, and the GGUF model format. The project supports many model families and has become a major foundation for local AI tools, model serving, and embedded inference workflows. It provides command-line tools, a server mode with an OpenAI-compatible API style, model conversion utilities, and extensive backend acceleration options. llama.cpp runs on CPUs and GPUs, with support for Apple silicon, x86, RISC-V, CUDA, HIP, Vulkan, SYCL, Metal, and hybrid CPU-GPU execution. Its main value is making practical LLM inference accessible across consumer machines, servers, and specialized deployment environments.

Features

  • C and C++ LLM inference engine
  • GGUF model format support
  • Command-line and server-based execution
  • Broad CPU and GPU acceleration support
  • Quantization for lower memory usage
  • Support for many text and multimodal model families

Project Samples

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac

Programming Language

C++

Related Categories

C++ Large Language Models (LLM)

Registered

2026-05-20