How to Autostart Qwen3-TTS-12Hz-1.7B-Base Using Pinokio One-Click Setup For Beginners

How to Autostart Qwen3-TTS-12Hz-1.7B-Base Using Pinokio One-Click Setup For Beginners

For an instant local deployment, running a pre-configured shell script is ideal.

Please follow the instructions listed below to get started.

All large files and heavy weights are downloaded automatically by the script.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

📤 Release Hash: df988a5f2e52edf5617df273a09dd934 • 📅 Date: 2026-06-28



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

The Qwen3-TTS-12Hz-1.7B-Base model is a lightweight text‑to‑speech system designed for real‑time voice synthesis at a 12 Hz update rate. It leverages a compact 1.7 B parameter transformer architecture that balances expressive prosody with low computational overhead. The model incorporates multi‑speaker conditioning and a refined acoustic tokenizer to produce natural‑sounding speech across diverse linguistic styles. In benchmark evaluations, it achieves state‑of‑the‑art Mean Opinion Scores while maintaining a modest memory footprint suitable for edge devices. A comparative

showcases its performance against similar models, highlighting superior latency and quality metrics.

Metric Value
Parameters 1.7B
Update Rate 12 Hz
MOS 4.6
Latency < 100 ms
Memory ≈ 800 MB
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