A standalone PowerShell module provides the fastest route to local installation.

Refer to the instructions below to proceed.

The script takes care of fetching the multi-gigabyte model weights.

To save you time, the system will automatically determine efficient resource allocation.

📤 Release Hash: da66307fb41a5f1c79b5ad5df5e35760 • 📅 Date: 2026-06-24 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space for HuggingFace cache folder Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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