GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
llama.cpp is a C++ tool for performing inference with large language models, offering a lightweight and efficient alternative to Python-based solutions.
Good fit when
- When you need a fast and lightweight solution for LLM inference that can be integrated into C++ projects.
- If you require a tool that can run on resource-constrained devices where Python-based alternatives might be too heavy.
Avoid when
- If your project is already heavily invested in Python and you do not want to introduce another language for inference.
- When you need extensive model training capabilities, as llama.cpp focuses solely on inference.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
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Backing
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- Company
- ggml·GitHub org profile·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
git clone https://github.com/ggml-org/llama.cppHow it fits your stack(18)
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Overview
A repository for performing inference with large language models using C++.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- c++, python
Source: github.language+pyproject.toml · Sep 18, 2026
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README
Quick start A few options to get 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 O...
For agents
This page has a .md twin and JSON over the API.