ggml-org/llama.cpp

▲ 936 stars today★ 128,273⑂ 23,207

LLM inference in C/C++

128,273Star

23,207Fork

0Watch

0Issue

C++Language

-License

Open on GitHub ↗

Created · last push · repository size 0 KB · default branch -

README

llama.cpp

LLM inference in C/C++

ggml / ops / maintainer PRs%20sort%3Aupdated-desc) / dev stats / lib llama API / llama-server REST API

Quick start

A few options to get llama.cpp installed on your machine:

Visit https://llama.app and follow the instructions
Run with Docker - see our Docker documentation
Download pre-built binaries from the releases page
Build from source by cloning this repository - check out our build guide

Once installed:

# Download and run a model directly from Hugging Face
llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF
Launch OpenAI-compatible API server
llama serve -hf ggml-org/Qwen3.5-0.8B-GGUF

VLM session with llama cli

Built-in web UI against llama serve

Description

The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.

Plain C/C++ implementation without any dependencies
Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
AVX, AVX2, AVX512 and AMX support for x86 architectures
RVV, ZVFH, ZFH, ZICBOP and ZIHINTPAUSE support for RISC-V architectures
1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP and Moore Threads GPUs via MUSA)
Vulkan and SYCL backend support
CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity

The llama.cpp project is build on top of the ggml library.

Supported backends

| Backend | Target devices | | --- | --- | | BLAS | All | | BLIS | All | | CANN | Ascend NPU | | CUDA | Nvidia GPU | | HIP | AMD GPU | | Hexagon | Snapdragon | | IBM zDNN | IBM Z & LinuxONE | | MUSA | Moore Threads GPU | | Metal | Apple Silicon | | OpenCL | Adreno GPU | | [OpenVINO [In Progress]](docs/backend/OPENVINO.md) | Intel CPUs, GPUs, and NPUs | | RPC | All | | SYCL | Intel GPU | | VirtGPU | VirtGPU APIR | | Vulkan | GPU | | WebGPU | All | | ZenDNN | AMD CPU |

Documentation

Tools

Development

Contributing

Contributors can open PRs
Collaborators will be invited based on contributions
Maintainers can push to branches in the llama.cpp repo and merge PRs into the master branch
Any help with managing issues, PRs and projects is very appreciated!
Read the CONTRIBUTING.md for more information

Acknowledgements

yhirose/cpp-httplib - Single-header HTTP server, used by llama-server - MIT license
nothings/stb - Single-header image format decoder, used by multimodal subsystem - Public domain
nlohmann/json - Single-header JSON library, used by various tools/examples - MIT License
mackron/miniaudio - Single-header audio format decoder, used by multimodal subsystem - Public domain
sheredom/subprocess.h - Single-header process launching solution for C and C++ - Public domain

ggml-org/llama.cpp

README

llama.cpp

Quick start

Launch OpenAI-compatible API server

Description

Supported backends

Documentation

Tools

Development

Contributing

Acknowledgements

More Today's Trending projects

debpalash / VoiceStudio

JustVugg / colibri

bilawalsidhu / gods-eye-view

alibaba / open-code-review

ever-co / ever-gauzy

pacifio / atlas