ExLlamaV2 vs Llama Stack
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | ExLlamaV2 | Llama Stack |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 62 · Good | 92 · Excellent |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Python | Python |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 4,096 MB |
| Deployment | bare-metal, source | docker, source |
| GitHub stars | ★ 4,626 | ★ 8,437 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
What are ExLlamaV2 and Llama Stack?
ExLlamaV2
ExLlamaV2 is an inference library optimized for running quantized large language models efficiently on modern consumer GPUs. Its EXL2 quantization format allows flexible bitrates for the best speed-quality balance.
- EXL2 flexible quantization
- Fast single-GPU inference
- Low memory footprint
- Built-in server
Llama Stack
Llama Stack from Meta defines and implements a set of standardized APIs for inference, RAG, agents, safety and evaluation, with multiple provider backends. It can be self-hosted as a unified server for building local generative AI applications.
- Standardized AI APIs
- Pluggable provider backends
- Agents and RAG support
- Self-hostable server
ExLlamaV2 vs Llama Stack: key differences
Both projects are written in Python. Llama Stack is the lighter option, starting around 4,096 MB of RAM against 8,192 MB for ExLlamaV2. Llama Stack lists first-class Docker deployment; ExLlamaV2 does not.
Why pick each one
Choose ExLlamaV2 if…
- Released under the MIT license
- Active community (4.6k GitHub stars)
- Written in Python
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
Frequently asked questions
Is ExLlamaV2 or Llama Stack better?
Llama Stack is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider ExLlamaV2 if its specific feature set fits your needs better.
Are ExLlamaV2 and Llama Stack free and open-source?
Yes. ExLlamaV2 is licensed under MIT and Llama Stack under MIT. Both can be self-hosted at no software cost.
Can I run ExLlamaV2 and Llama Stack with Docker?
ExLlamaV2: check the project docs for container support. Llama Stack: yes.
Which is lighter on resources, ExLlamaV2 or Llama Stack?
Llama Stack has the smaller minimum footprint at 4,096 MB of RAM, compared to about 8,192 MB for ExLlamaV2. Real-world usage depends on library size, user count, and enabled features.