Guidance vs llama.cpp
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Guidance
Constrained generation language for controlling LLMs
VS
llama.cpp
High-performance LLM inference in plain C/C++
| Feature | Guidance | llama.cpp |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | MIT | MIT |
| Language | Jupyter Notebook | C++ |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | source | binary, bare-metal, docker |
| GitHub stars | ★ 21,706 | ★ 123,039 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose Guidance if…
- Released under the MIT license
- Mature project with 21.7k GitHub stars
- Written in Jupyter Notebook
Choose llama.cpp if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 123k GitHub stars
- Written in C++
Frequently asked questions
Is Guidance or llama.cpp better?
Neither is universally better. llama.cpp has the larger community, while Guidance is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are Guidance and llama.cpp free and open-source?
Yes. Guidance is licensed under MIT and llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run Guidance and llama.cpp with Docker?
Guidance: check the project docs for container support. llama.cpp: yes.