Versions & Supported Models
Loc.ai continues to evolve with stable releases that expand device management, model deployment, and developer workflows. The current v2.1 release introduces enhanced telemetry, download analytics, and seamless VS Code integration for local AI development. Stable legacy versions remain accessible through the changelog for teams requiring backward compatibility.
The platform currently supports image, audio, and language AI models through optimized runtimes such as TensorFlow Lite and llama-cpp. With more formats on the roadmap, Loc.ai is built for continuous innovation and scalable edge intelligence.
| Version | Status |
|---|---|
| v2.1 | Current |
| v2 | Stable |
tip
Prior versions available via the documentation changelog.
Changelog
| Version | Features |
|---|---|
| v2 | • Account registration: Approval-only registration workflow via the Loc.ai dashboard • Device registration via UI: Register devices directly from the Control platform with one-click key generation • Model deployment guide: Step-by-step deployment from the Model Library • Inference & results: Run inference and view detailed results with filtering and CSV export • Supported models: TFLite (image/audio classification) and GGUF (language models) • Device management: Delete, unregister, and reset devices |
| v2.1 | • VS Code integration: Full guide for connecting Continue to locally served models via Loc.ai • Loc.ai Link v0.1.10: Analytics telemetry, download tracking, and maintenance updates • Version switcher: Prior documentation versions available via the documentation changelog |
Supported Models
| Architecture | Format | Runtime |
|---|---|---|
| Image classification | TFLite | TensorFlow Lite |
| Audio classification | TFLite | TensorFlow Lite |
| Language models (LLM) | GGUF | llama-cpp |
tip
Support for additional formats and architectures is on the roadmap.
Libraries & Resources
- Loc.ai GitHub
- Loc.ai API (coming soon)