Install Rio-3.0-Open-Mini Easy Build

For the fastest local setup of this model, Docker is the best choice.

Refer to the instructions below to proceed.

Then, run the specified Docker command to start the environment.

🧾 Hash-sum — 8d13a974f0b427c0ec2a784c39270308 • 🗓 Updated on: 2026-06-22



  • Processor: high single-core performance needed for token latency
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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