Guidance vs MLX LM
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Guidance | MLX LM |
|---|---|---|
| Deploy effort | Read-the-docs project | Read-the-docs project |
| Health score | 84 · Excellent | 89 · Excellent |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Jupyter Notebook | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | source | source, binary |
| GitHub stars | ★ 21,776 | ★ 7,117 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
What are Guidance and MLX LM?
Guidance
Guidance is a programming paradigm from Microsoft for steering language model output with interleaved generation, control flow, and constraints. It can run against locally hosted models to produce reliable structured results.
- Interleaved generation control
- Token healing
- Regex and grammar constraints
- Works with local models
MLX LM
MLX LM is a Python package from Apple's MLX project for running and fine-tuning large language models efficiently on Apple Silicon. It provides a command-line interface and HTTP server for local text generation entirely on-device.
- Native Apple Silicon inference
- LoRA fine-tuning
- OpenAI-compatible server
- Model quantization
Guidance vs MLX LM: key differences
Guidance is written in Jupyter Notebook, while MLX LM is built with Python. Guidance is the lighter option, starting around 8,192 MB of RAM against 16,384 MB for MLX LM. Guidance has the considerably larger community, at 21,776 GitHub stars versus 7,117.
Why pick each one
Choose Guidance if…
- Precise output control
- Constrained structured generation
- Works with local models
Watch out for
- Paradigm takes learning
- API models limit features
Choose MLX LM if…
- Released under the MIT license
- Mature project with 7.1k GitHub stars
- Written in Python
Frequently asked questions
Is Guidance or MLX LM better?
Neither is universally better. Guidance has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Guidance and MLX LM free and open-source?
Yes. Guidance is licensed under MIT and MLX LM under MIT. Both can be self-hosted at no software cost.
Can I run Guidance and MLX LM with Docker?
Guidance: check the project docs for container support. MLX LM: check the project docs for container support.
Which is lighter on resources, Guidance or MLX LM?
Guidance has the smaller minimum footprint at 8,192 MB of RAM, compared to about 16,384 MB for MLX LM. Real-world usage depends on library size, user count, and enabled features.