llama.cpp vs Wllama
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
Wllama
Run LLM inference directly in the browser with WebAssembly
| Feature | llama.cpp | Wllama |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | MIT |
| Language | C++ | TypeScript |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 512 MB |
| Deployment | binary, bare-metal, docker | source |
| GitHub stars | ★ 123,039 | ★ 1,159 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
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 Wllama if…
- Released under the MIT license
- Active community (1.2k GitHub stars)
- Written in TypeScript
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is llama.cpp or Wllama better?
Neither is universally better. llama.cpp has the larger community, while Wllama is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and Wllama free and open-source?
Yes. llama.cpp is licensed under MIT and Wllama under MIT. Both can be self-hosted at no software cost.
Can I run llama.cpp and Wllama with Docker?
llama.cpp: yes. Wllama: check the project docs for container support.