Continue 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.
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Continue
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ik_llama.cpp
Performance-focused fork of llama.cpp with new quant types
| Feature | Continue | ik_llama.cpp |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | TypeScript | C++ |
| Setup difficulty | Easy | Hard |
| Min. RAM | 1,024 MB | 8,192 MB |
| Deployment | bare-metal, source | source, binary |
| GitHub stars | ★ 35,374 | ★ 3,014 |
| First released | 2023 | 2024 |
| Replaces | GitHub Copilot, Cursor | OpenAI API |
Why pick each one
Choose Continue if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- Mature project with 35.4k GitHub stars
- Written in TypeScript
Choose ik_llama.cpp if…
- Released under the MIT license
- Active community (3k GitHub stars)
- Written in C++
Frequently asked questions
Is Continue or ik_llama.cpp better?
Continue is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider ik_llama.cpp if its specific feature set fits your needs better.
Are Continue and ik_llama.cpp free and open-source?
Yes. Continue is licensed under Apache-2.0 and ik_llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run Continue and ik_llama.cpp with Docker?
Continue: check the project docs for container support. ik_llama.cpp: check the project docs for container support.