🏥 Bringing local agentic AI to healthcare with MiniCPM5-2B × OpenMed!

@OpenMed_AI paired OpenMed with MiniCPM5-2B to explore a local clinical AI workflow — combining privacy-preserving clinical data processing with a compact model capable of tool use, reasoning, and long-context understanding.

✨ Highlights:
🧠 MiniCPM5-2B powers the agent layer, calling tools, comparing lab results, and generating clinical handoffs with source references
🔒 OpenMed masks sensitive identifiers and extracts clinical context before the model processes the data
⚡ Compact 2B-scale model enables practical local inference on resource-constrained hardware
🛠️ Together, they demonstrate how open models can connect clinical data processing with agentic workflows while keeping inference on local hardware

It’s exciting to see MiniCPM5-2B move beyond standalone model benchmarks into real-world healthcare workflows — bringing tool use, reasoning, and local deployment together with OpenMed. 🙌

Built something with MiniCPM5-2B? Share your case with us! 🚀

🔗 GitHub: https://t.co/C31Zo2fJSI
🤗 Model: https://t.co/FZOMTZhBjq