If you want the fastest local installation for this model, use Docker.
Follow the guidelines below to continue.
The setup auto-downloads all needed files (several GBs).
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
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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