A large-scale open-weight model from ErtasAI built on Google's Gemma family architecture. At 31 billion parameters, it sits in a range where models tend to balance depth of reasoning with practical deployability. The 'Med' prefix suggests a medical or domain-specific orientation, though concrete capability details beyond its architecture lineage are limited.