This may be one of the more important Healthcare specialized Local AI weight releases. Ant open-sourced the weights for Ling-3.0-flash-Sante. The model itself isn't new as Sante has been available through APIs since September but ... What's new is 👉 you can now bring the healthcare model home. Stats 🧠 124B total parameters ⚡ only ~5.1B active/token 📚 256K context 🩺 healthcare-specialized 🔎 deep research 🤖 multi-agent collaboration 🔧 tool use It's built on the same Ling-3.0-flash architecture that already runs in llama.cpp. For reference, base Ling-3.0-flash GGUFs already exist around Q4_K_M → ~77GB IQ3 → ~54GB IQ2 → ~40–46GB IQ1 → ~28–31GB ⚠️ Those are BASE Ling-3.0-flash quants. I haven't found an official Sante GGUF yet. But now that the Sante weights are downloadable, this becomes a home model for 🖥️ 96/128GB workstations 🍎 high-memory Apple Silicon ⚡ DGX/RTX Spark-class unified memory 🔗 multi-GPU local systems And healthcare is one of the places where Local AI can be useful for private documents + research + agent workflows can stay on hardware you control instead of being sent to a cloud API. Ant also reports substantial healthcare gains in the new release, including HealthBench Professional 45.73 → 54.29 AFUMED ComplexReasoning 65.22 → 76.92 Link in ALT