Qwen3-TTS-12Hz-1.7B-VoiceDesign

Qwen3-TTS-12Hz-1.7B-VoiceDesign

Homebrew offers the quickest path to setting up this model locally.

Kindly follow the on-screen instructions below.

The script takes care of fetching the multi-gigabyte model weights.

The configuration wizard runs silently to set up the model for peak performance.

📘 Build Hash: b96cb5fc75803de938d929b5294f9413 • 🗓 2026-06-29



  • Processor: high single-core performance needed for token latency
  • RAM: enough space for background apps and OS overhead
  • Storage: extra room for future model updates and datasets
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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