How to Autostart Qwen3-TTS-12Hz-1.7B-CustomVoice 100% Private PC Quantized GGUF

How to Autostart Qwen3-TTS-12Hz-1.7B-CustomVoice 100% Private PC Quantized GGUF

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

Make sure to follow the instructions below.

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

The installer will automatically analyze your hardware and select the optimal configuration for your system.

📊 File Hash: 48852efe4bf8a95ae09c1ae11083beb9 — Last update: 2026-06-22



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • 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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