llama.cpp vs llamafile
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
llama.cpp
High-performance LLM inference in plain C/C++
VS
llamafile
Distribute and run LLMs with a single executable file
| Feature | llama.cpp | llamafile |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | C++ | C++ |
| Setup difficulty | Hard | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | binary, bare-metal, docker | binary |
| GitHub stars | ★ 123,039 | ★ 25,512 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API, ChatGPT |
Why pick each one
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 llama.cpp or llamafile better?
Neither is universally better. llama.cpp has the larger community, while llamafile is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and llamafile free and open-source?
Yes. llama.cpp is licensed under MIT and llamafile under Apache-2.0. Both can be self-hosted at no software cost.
Can I run llama.cpp and llamafile with Docker?
llama.cpp: yes. llamafile: check the project docs for container support.