Quick facts
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- llama.cpp - Local LLM Inference for Private AI Apps
- Pricing
- Free
- Editor rating
- 4.5 / 5
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- 0
About llama.cpp
llama.cpp is an MIT-licensed C/C++ inference engine for running large language models locally or on self-managed servers. It focuses on minimal dependencies, GGUF model files, quantization, broad hardware support, and an OpenAI-compatible server path for private LLM deployments.
Pros
- Run GGUF language models from local files or Hugging Face references
- Serve models through llama-server with an OpenAI-compatible API surface
- Use CPU, Metal, CUDA, HIP, Vulkan, SYCL, and hybrid CPU/GPU execution paths
- Run quantized models from 1.5-bit through 8-bit formats to reduce memory needs
- Build from source or install through package managers, Docker, and prebuilt releases
Cons
Pricing
Open source
$0
- • MIT-licensed repository
- • No per-token fee from the project
- • Users pay for their own hardware, cloud instances, and downloaded model access