Using Docker is the absolute quickest way to install this model on your local machine.
Use the instructions provided below to complete the setup.
The setup auto-streams the model assets (expect a multi-GB download).
During setup, the script automatically determines and applies the best settings tailored to your machine.
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🛠 Hash code: 1b9f6f82297b9e9c616a87f5e5e949c0 — Last modification: 2026-06-26
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The **Qwen3-TTS-12Hz-1.7B-VoiceDesign** model delivers high‑fidelity speech synthesis with a focus on natural prosody and emotional nuance. Built on a **1.7 B** parameter architecture, it operates efficiently at a **12 Hz** refresh rate, enabling real‑time voice generation with minimal latency. The model incorporates advanced *VoiceDesign* algorithms that allow fine‑grained control over timbre, pitch, and speaking style, making it suitable for interactive AI assistants and multimedia applications. Its training pipeline leverages a diverse *multilingual* dataset of speech recordings, ensuring robust accent adaptation and context‑aware intonations. Performance benchmarks show competitive MOS scores and low word error rates compared to leading TTS systems, positioning it as a strong contender in the voice synthesis market.
| Parameter Count | 1.7 B |
| Refresh Rate | 12 Hz |
| Latency | < 50 ms (real‑time) |
| Supported Languages | 30+ languages with accent adaptation |
| MOS Score | > 4.2 (ITU‑T P.874) |
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