Llama Stack vs LMDeploy
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Llama Stack
Composable API server for building generative AI applications
VS
LMDeploy
Toolkit for compressing and serving large language models
| Feature | Llama Stack | LMDeploy |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 4,096 MB | 16,384 MB |
| Deployment | docker, source | docker, source |
| GitHub stars | ★ 8,421 | ★ 7,998 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
Why pick each one
Choose Llama Stack if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8.4k GitHub stars
- Written in Python
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
Frequently asked questions
Is Llama Stack or LMDeploy better?
Llama Stack is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider LMDeploy if its specific feature set fits your needs better.
Are Llama Stack and LMDeploy free and open-source?
Yes. Llama Stack is licensed under MIT and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Llama Stack and LMDeploy with Docker?
Llama Stack: yes. LMDeploy: yes.