ExLlamaV2 vs openedai-speech
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 | openedai-speech |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 62 · Good | 13 · At risk |
| Status | Actively maintained | Archived |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | AGPL-3.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Easy |
| Min. RAM | 8,192 MB | 2,048 MB |
| Deployment | bare-metal, source | docker |
| GitHub stars | ★ 4,627 | ★ 857 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API, ElevenLabs |
What are ExLlamaV2 and openedai-speech?
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
openedai-speech
openedai-speech is a self-hosted text-to-speech server that mimics the OpenAI audio speech API. It uses local models such as Piper and Coqui XTTS to generate audio without sending data to the cloud.
- OpenAI speech API compatible
- Piper and XTTS backends
- Custom voice mapping
- Drop-in replacement
ExLlamaV2 vs openedai-speech: key differences
The biggest difference is maintenance: openedai-speech's repository is archived and no longer developed, while ExLlamaV2 is actively maintained. Both projects are written in Python. Licensing differs — MIT for ExLlamaV2 versus AGPL-3.0 for openedai-speech. Openedai-speech is the lighter option, starting around 2,048 MB of RAM against 8,192 MB for ExLlamaV2. ExLlamaV2 has the considerably larger community, at 4,627 GitHub stars versus 857. Openedai-speech 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 openedai-speech if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Written in Python
Frequently asked questions
Is ExLlamaV2 or openedai-speech better?
Neither is universally better. ExLlamaV2 has the larger community, while openedai-speech is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are ExLlamaV2 and openedai-speech free and open-source?
Yes. ExLlamaV2 is licensed under MIT and openedai-speech under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run ExLlamaV2 and openedai-speech with Docker?
ExLlamaV2: check the project docs for container support. openedai-speech: yes.
Which is lighter on resources, ExLlamaV2 or openedai-speech?
openedai-speech has the smaller minimum footprint at 2,048 MB of RAM, compared to about 8,192 MB for ExLlamaV2. Real-world usage depends on library size, user count, and enabled features.