llamafile vs LMDeploy
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | llamafile | LMDeploy |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 97 · Excellent | 92 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | C++ | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | binary | docker, source |
| GitHub stars | ★ 26,032 | ★ 8,092 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API, ChatGPT | OpenAI API, Hugging Face Inference Endpoints |
What are llamafile and LMDeploy?
llamafile
llamafile is a Mozilla project that turns large language model weights into a single cross-platform executable. It bundles llama.cpp with a model so an LLM can be run and served locally with no installation step.
- Single-file LLM distribution
- Runs on six operating systems
- OpenAI-compatible API server
- No installation required
LMDeploy
LMDeploy is an inference and serving toolkit from the OpenMMLab ecosystem for deploying large language models efficiently. It offers quantization, a high-throughput serving engine, and an OpenAI-compatible API.
- High-throughput inference engine
- Weight quantization support
- OpenAI-compatible serving
- Multi-GPU deployment
llamafile vs LMDeploy: key differences
Llamafile is written in C++, while LMDeploy is built with Python. Llamafile is the lighter option, starting around 8,192 MB of RAM against 16,384 MB for LMDeploy. Llamafile has the considerably larger community, at 26,032 GitHub stars versus 8,092. LMDeploy lists first-class Docker deployment; llamafile does not.
Why pick each one
Choose llamafile if…
- Extremely portable
- Fast startup
Watch out for
- Large file sizes for big models
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8.1k GitHub stars
- Written in Python
Frequently asked questions
Is llamafile or LMDeploy better?
llamafile is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider LMDeploy if its specific feature set fits your needs better.
Are llamafile and LMDeploy free and open-source?
Yes. llamafile is licensed under Apache-2.0 and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.
Can I run llamafile and LMDeploy with Docker?
llamafile: check the project docs for container support. LMDeploy: yes.
Which is lighter on resources, llamafile or LMDeploy?
llamafile has the smaller minimum footprint at 8,192 MB of RAM, compared to about 16,384 MB for LMDeploy. Real-world usage depends on library size, user count, and enabled features.