llama.cpp vs Serge
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
Serge
Self-hosted LLaMA chat UI with no API keys needed
| Feature | llama.cpp | Serge |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | C++ | Svelte |
| Setup difficulty | Hard | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | binary, bare-metal, docker | docker |
| GitHub stars | ★ 123,039 | ★ 5,716 |
| First released | 2023 | 2023 |
| Replaces | 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++
Choose Serge if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Mature project with 5.7k GitHub stars
Frequently asked questions
Is llama.cpp or Serge better?
Neither is universally better. llama.cpp has the larger community, while Serge is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and Serge free and open-source?
Yes. llama.cpp is licensed under MIT and Serge under Apache-2.0. Both can be self-hosted at no software cost.
Can I run llama.cpp and Serge with Docker?
llama.cpp: yes. Serge: yes.