ollaya-dev/ollaya
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models. Why it matters: helps you run models on your own hardware without an API bill.
GitHub description: Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
Stars
1.3k
Last 24h
+66est.
Last 7 days
+464est.
Forks
79
Star history (last 1 snapshot)
Only one snapshot so far. The chart fills in as OSS Radar collects daily snapshots.
* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.
Maintainer? Add the badge to your README
Shows your live OSS Radar rank and links back here. Updates hourly.
[](https://ossradar.net/repo/ollaya-dev/ollaya)<a href="https://ossradar.net/repo/ollaya-dev/ollaya"><img src="https://ossradar.net/badge/ollaya-dev/ollaya" alt="Trending on OSS Radar"></a>About ollaya
ollaya-dev/ollaya is a Rust project in the Local LLMs category, created 20 days ago. It has 1.3k GitHub stars and 79 forks, and gained +464 stars over the last 7 days (early estimate), ranking #2 of 3 Local LLMs repos tracked by OSS Radar this week.
See more trending Local LLMs repos or the top AI repos this week.
- Language
- Rust
- Category
- Local LLMs
- Created
- Sep 23, 2026
- Last push
- Oct 13, 2026
- calibration
- classification
- decision-models
- gliclass
- jev
- laya
- llm-routing
- local-inference
- nli
- ollama
- onnx
- onnxruntime
- rust
- typesafe
- zero-shot-classification
Similar rising repos
- ARahim3/DigUp+2.1kest.
Search your Mac by what's in your files: photos, PDFs, recordings, videos and code. On-device, built on Google DeepMind's EmbeddingGemma 2. Why it matters: helps you run models on your own hardware without an API bill.
- leemysw/yovoice+315est.
Open-source local AI audio & music studio for macOS & Windows. TTS, voice cloning, songs with lyrics, and multi-track scores — 100% offline, zero API… Why it matters: helps you run models on your own hardware without an API bill.