FastChat 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?
FastChat
Platform for serving and evaluating large language models
VS
llamafile
Distribute and run LLMs with a single executable file
| Feature | FastChat | llamafile |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | C++ |
| Setup difficulty | Hard | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, source | binary |
| GitHub stars | ★ 39,516 | ★ 25,512 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API, ChatGPT |
Why pick each one
Choose FastChat if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 39.5k GitHub stars
- Written in Python
Frequently asked questions
Is FastChat or llamafile better?
Neither is universally better. FastChat 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 FastChat and llamafile free and open-source?
Yes. FastChat is licensed under Apache-2.0 and llamafile under Apache-2.0. Both can be self-hosted at no software cost.
Can I run FastChat and llamafile with Docker?
FastChat: yes. llamafile: check the project docs for container support.