Using the Windows Package Manager is the quickest way to trigger the setup.

Make sure to follow the instructions below.

The installer automatically pulls the model (could be multiple GBs).

You don’t need to tweak anything; the installer picks the highest performing setup.

💾 File hash: daaef43a9345403e7b1f66a7da1fde4f (Update date: 2026-07-01) Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

The Rio-3.0-Open-Mini model delivers a compact yet powerful architecture designed for edge deployment. It balances parameter count and inference speed to achieve state-of-the-art performance on resource‑constrained devices. The model leverages a refined attention mechanism that reduces computational overhead while preserving contextual understanding. Compared to its predecessor, Rio-3.0-Open-Mini offers a 30% reduction in memory footprint without sacrificing accuracy. Its open‑source nature encourages community contributions, fostering rapid iteration and integration across diverse applications.

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