For the fastest local setup of this model, Docker is the best choice.
Review and follow the instructions below.
The client handles the setup, pulling gigabytes of data automatically.
To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.
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🔒 Hash checksum: 97ab386df8cb1a2d6f7fdea30019f2e1 • 📆 Last updated: 2026-06-26
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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
| Metric | Value |
|---|---|
| Parameters | 1.7B |
| Update Rate | 12 Hz |
| MOS | 4.6 |
| Latency | < 100 ms |
| Memory | ≈ 800 MB |
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