Deploy Rio-3.0-Open-Mini Uncensored Edition

Deploying this model locally is quickest when done via Docker.

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

🧾 Hash-sum — d351255b94346c98d638fbabebea9bb1 • 🗓 Updated on: 2026-06-27

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CPU: 8-core / 16-thread recommended for orchestration
RAM: 64 GB to avoid OOM crashes on large contexts
Storage:100 GB free space for HuggingFace cache folder
Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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Deploy Rio-3.0-Open-Mini Uncensored Edition

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