From $20 per month🇺🇸
Desktop app for downloading and running open language models locally via llama.cpp and MLX, with an agent and a command line.
llama.cpp overview and key facts (October 2026)
Open-source C/C++ library that runs language and vision models in GGUF format on CPUs and many GPU types.
Free
What is llama.cpp?
llama.cpp is an open-source inference library in C and C++ that runs large language and vision models on ordinary hardware, from laptops to servers, and is the engine behind many local AI tools.
The project is maintained in the ggml-org organization on GitHub and builds on the ggml tensor library. It defines the GGUF model format, ships a command line tool and llama-server, and supports CPU, Apple Metal, NVIDIA CUDA, AMD HIP, Vulkan and Intel SYCL back ends. ggml.ai, the company founded to support the project, states that it was acquired by Hugging Face in 2026. The GitHub API showed about 130,000 stars and a push on September 28, 2026.
llama.cpp AI features and use cases
- Runs models without a data center GPUllama.cpp combines CPU and GPU inference and quantizes models down to a few bits per weight. IT teams can run capable models on existing workstations or small servers, which lowers the entry cost for internal AI pilots.
- Serves models through an OpenAI-style APIllama-server exposes an OpenAI-compatible endpoint. Internal tools written for a cloud API can point to a self-hosted model, keeping documents and prompts inside the company network.
- Handles images as well as textThe README shows vision-language sessions in which a model answers questions about images. Teams can test document or screenshot understanding locally before choosing a cloud service.
What sets llama.cpp apart
- Defines GGUF, the model file format that many local runtimes and desktop apps use.
- Supports a wide range of hardware back ends, from Apple silicon to AMD and Intel GPUs, in one code base.
Where llama.cpp is strongest
United States Available internationally
Open-source software with no country restriction that runs on your own hardware anywhere.
Questions to ask before you buy llama.cpp
llama.cpp is a library and server, not a finished product with support. Plan who builds, updates and monitors it, since the project releases changes almost daily. Check the license of each model you load, as the MIT license covers only the code. For production use, compare throughput with dedicated inference servers.
llama.cpp reviews
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Questions about llama.cpp
Is llama.cpp free for commercial use?
Yes, the code is released under the MIT license. Model weights come with their own licenses, which you need to check separately.
Which hardware does llama.cpp support?
According to the README, it runs on CPUs with AVX instructions and on Apple Metal, NVIDIA CUDA, AMD HIP, Vulkan and Intel SYCL, including hybrid CPU and GPU inference.
Who maintains llama.cpp?
The project lives in the ggml-org organization on GitHub with many contributors. ggml.ai, the company founded to support it, states that it was acquired by Hugging Face in 2026.
llama.cpp update historyno updates yet
No changes recorded for llama.cpp yet.
Changes the vendor made and confirmed user reports, each checked against the vendor's own pages. We review every tool monthly.
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