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Qwen3-TTS-12Hz-1.7B-VoiceDesign with Native FP4

Qwen3-TTS-12Hz-1.7B-VoiceDesign with Native FP4

To install this model locally in the shortest time, opt for Docker.

Make sure to follow the instructions below.

Just proceed with the basic instructions provided below to complete the process.

🧮 Hash-code: 77ad637aa189f463a82b42123b3c5057 • 📆 2026-06-24



  • Processor: next-gen chip for heavy context processing
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: 12 GB VRAM minimum required for basic quantization

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 Count1.7 B
Refresh Rate12 Hz
Latency< 50 ms (real‑time)
Supported Languages30+ languages with accent adaptation
MOS Score> 4.2 (ITU‑T P.874)
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