Qwen3-TTS-12Hz-1.7B-CustomVoice Full Speed NPU Mode For Beginners Windows

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

Follow the step-by-step instructions below.

The tool automatically synchronizes and downloads the model database.

The automated script takes care of everything, tailoring the setup to your specs.

📊 File Hash: 69fb90cce01637f955823ebf71441721 — Last update: 2026-06-28
  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: at least 100 GB for multiple local LLM variants
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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  • Setup tool configuring complex multi-modal vision pipelines inside Ollama terminal
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