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How to Launch Qwen3-TTS-12Hz-1.7B-CustomVoice Complete Walkthrough

How to Launch Qwen3-TTS-12Hz-1.7B-CustomVoice Complete Walkthrough

The fastest way to get this model running locally is via Docker.

Please follow the instructions listed below to get started.

The setup auto-downloads all needed files (several GBs).

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🗂 Hash: fb9b9b86bf294b0d4cf23dd36600251d • Last Updated: 2026-06-23
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  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

Qwen3-TTS-12Hz-1.7B-CustomVoice is a cutting‑edge text‑to‑speech model that delivers high‑fidelity voice synthesis at a 12 Hz frame rate. It supports custom voice cloning, allowing users to train on just a few samples and generate personalized speech that retains the speaker’s unique characteristics. Its 1.7 B parameter architecture balances performance with a low memory footprint, making it suitable for deployment on consumer‑grade hardware. Inference latency stays under 50 ms per utterance, enabling real‑time applications such as interactive assistants and live dubbing. The model has been optimized for multiple languages and prosodic styles, producing natural‑sounding output across a wide range of domains.

Spec Value
Parameter Count 1.7 B
Sample Rate 12 Hz (frame)
Training Data 200 h multi‑speaker speech
Latency <50 ms
Supported Languages 20+
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