How to Install Qwen3-TTS-12Hz-1.7B-CustomVoice Locally via Ollama 2 Full Speed NPU Mode Step-by-Step

How to Install Qwen3-TTS-12Hz-1.7B-CustomVoice Locally via Ollama 2 Full Speed NPU Mode Step-by-Step

Setting up this model locally is incredibly fast if you use the native CMD prompt.

Refer to the action plan below to initialize the model.

The client handles the setup, pulling gigabytes of data automatically.

You don’t need to tweak anything; the installer picks the highest performing setup.

🔒 Hash checksum: 5cf70a34df05f394b259d3e08fd50f20 • 📆 Last updated: 2026-07-03



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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