**On-device AI built for consumer hardware**
Cloud-level AI · Offline access · Strengthened privacy · No pay-per-use fees
[Website](https://edge0.ai/) · [Models](https://huggingface.co/Edge0) · [GitHub](https://github.com/Edge0-AI) · [X](https://x.com/Edge0_AI)
Edge0 builds efficient foundation models for phones, laptops, wearables, robots, and other consumer hardware. Our models are designed for local, private, and offline inference.
## LLMs
- [**Edge0-35B-A3B**](https://huggingface.co/Edge0/Edge0-35b-a3b-preview) — 35B sparse MoE with about 3 GB peak active memory.
- [**Edge0-8B-A1B**](https://huggingface.co/Edge0/Edge0-8B-A1B-preview) — lightweight 8B sparse MoE with about 1 GB peak active memory.
## Speech models
- **Audio8-ASR** — [3B](https://huggingface.co/Edge0/ARK-ASR-3B) · [0.6B](https://huggingface.co/Edge0/ARK-ASR-0.6B) · [0.1B](https://huggingface.co/Edge0/Audio8-ASR-0.1B) — speech recognition from flagship to edge tiers.
- **Audio8-TTS** — [0.6B](https://huggingface.co/Edge0/Audio8-TTS-Preview-0.6b) · [0.1B](https://huggingface.co/Edge0/Audio8-TTS-Preview-0.1b) — multilingual, zero-shot voice generation with voice cloning.
Explore all models on [Hugging Face](https://huggingface.co/Edge0), and the open-source inference stack on [GitHub](https://github.com/Edge0-AI).
[Research](https://edge0.ai/research) · [About](https://edge0.ai/aboutus) · [Contact](mailto:dev@edge0.ai)