coding · free
llama.cpp
About
LLM inference in C/C++ — runs models locally on CPU/GPU across platforms with minimal dependencies.
What is llama.cpp?
llama.cpp is an inference engine for large language models written in C and C++. The documentation describes it as a tool for running LLMs locally on CPU or GPU with minimal dependencies. It supports a variety of model architectures including LLaMA, Mistral, and many others. The repository shows 121,806 stars, indicating community interest. Key capabilities include:
- Quantization support to reduce memory usage.
- Cross-platform operation across Windows, macOS, Linux, and others.
- Integration with libraries like cuBLAS, Metal, and Vulkan for GPU acceleration.
- A server mode for API-like access.
The project is maintained under the ggml-org organization and is open source under a permissive license.
Who is llama.cpp for?
llama.cpp is designed for developers, researchers, and advanced users who need to run LLMs locally without relying on cloud services. It suits those who prioritize privacy, offline access, or cost savings from API fees. The command-line interface and C/C++ API require technical proficiency. It is not a turnkey application. The repository documentation points to a range of use cases from prototyping to production inference on edge devices.
How much does llama.cpp cost?
llama.cpp is free. The pricing page lists $0 per month. There is no subscription, license fee, or usage charge. The cost to the user is only the hardware and electricity needed to run the models. As open-source software, anyone can download the source code, compile it, and use it without payment. Contributions to the project are voluntary.