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Qwen3-TTS-12Hz-1.7B-VoiceDesign

Qwen3-TTS-12Hz-1.7B-VoiceDesign

If you want the fastest local installation for this model, use Docker.

Simply follow the directions outlined below.

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The installer automatically pulls the model (could be multiple GBs).

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

📦 Hash-sum → b114e2fd6e6b8f3a184d851f68d43fcf | 📌 Updated on 2026-06-23



  • Processor: next-gen chip for heavy context processing
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: 150+ GB for high-context vector database storage
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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