A standalone PowerShell module provides the fastest route to local installation.
Use the instructions provided below to complete the setup.
The script takes care of fetching the multi-gigabyte model weights.
To save you time, the system will automatically determine efficient resource allocation.
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.
| Parameters | 1.5 B |
| Inference Latency | 12 ms on typical edge hardware |
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