🌱 A tiny model helping plants tell the story of soil.
Developer @RightSideOfAI built AUGURY, an open-source AI pipeline that uses MiniCPM5-1B to transform weed observations into meaningful soil-health insights.
Instead of relying on a large cloud model, AUGURY combines: 🌿 DINOv2 + FAISS retrieval for weed identification 📚 A deterministic species knowledge base with 2,230 species 🧠 MiniCPM5-1B LoRA fine-tuning as the natural language reasoning layer
The model doesn’t hallucinate facts — it only turns verified knowledge into a conversational soil story. This project explores how tiny models can bring reliable AI capabilities into specialized real-world domains — from agriculture to edge devices.
Powered by MiniCPM5-1B, AUGURY achieves: ⚡ Lightweight deployment with GGUF Q4_K_M (~660MB) 📱 Phone-ready offline inference 🌍 A fully open-source pipeline for regenerative agriculture
🔗 Explore it: https://github.com/RegeneratusLabs/AUGURY