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.
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 |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 100 · Excellent | 97 · Excellent |
| 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 | ★ 129,361 | ★ 26,042 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API, ChatGPT |
What are llama.cpp and llamafile?
llama.cpp
llama.cpp is a C/C++ inference engine for running LLaMA-family and many other models efficiently on CPUs and GPUs. It pioneered the GGUF quantized model format and powers a large portion of the local-AI ecosystem.
- GGUF quantization
- Runs on modest hardware
- Built-in HTTP server
- Broad GPU backend support
llamafile
llamafile is a Mozilla project that turns large language model weights into a single cross-platform executable. It bundles llama.cpp with a model so an LLM can be run and served locally with no installation step.
- Single-file LLM distribution
- Runs on six operating systems
- OpenAI-compatible API server
- No installation required
llama.cpp vs llamafile: key differences
Both projects are written in C++. Licensing differs — MIT for llama.cpp versus Apache-2.0 for llamafile. Llama.cpp has the considerably larger community, at 129,361 GitHub stars versus 26,042. Llama.cpp lists first-class Docker deployment; llamafile does not.
Why pick each one
Choose llama.cpp if…
- Runs on modest CPUs
- Broad hardware support
- Pioneered GGUF quantization
Watch out for
- Command-line focused
- Frequent breaking changes
Choose llamafile if…
- Extremely portable
- Fast startup
Watch out for
- Large file sizes for big models
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.