FastChat vs ik_llama.cpp
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
ik_llama.cpp
Performance-focused fork of llama.cpp with new quant types
| Feature | FastChat | ik_llama.cpp |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Python | C++ |
| Setup difficulty | Hard | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, source | source, binary |
| GitHub stars | ★ 39,516 | ★ 3,014 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
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
Choose ik_llama.cpp if…
- Released under the MIT license
- Active community (3k GitHub stars)
- Written in C++
Frequently asked questions
Is FastChat or ik_llama.cpp better?
Neither is universally better. FastChat has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are FastChat and ik_llama.cpp free and open-source?
Yes. FastChat is licensed under Apache-2.0 and ik_llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run FastChat and ik_llama.cpp with Docker?
FastChat: yes. ik_llama.cpp: check the project docs for container support.