Setup Qwen3-TTS-12Hz-1.7B-Base Windows 10 Direct EXE Setup

If you want the fastest local installation for this model, use standard pip packages.

Refer to the instructions below to proceed.

1-click setup: the app automatically fetches the large weight files.

The installer will automatically analyze your hardware and select the optimal configuration.

📊 File Hash: 19117bfb784e8e165e4eef60f59e2c09 — Last update: 2026-06-25



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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