How to Install Qwen3-TTS-12Hz-1.7B-CustomVoice Offline on PC

The most rapid route to a local installation of this model is through WSL2.

Use the instructions provided below to complete the setup.

All large files and heavy weights are downloaded automatically by the script.

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

📤 Release Hash: 905fc0eee0e38d95db4011cbbfd633b1 • 📅 Date: 2026-07-02

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CPU: AVX2/AVX-512 instruction set required for llama.cpp
RAM: minimum 16 GB for stable 8B model loading
Disk: 150+ GB for high-context vector database storage
Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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Qwen3-TTS-12Hz-1.7B-CustomVoice Locally (No Cloud) Zero Config Local Guide FREE
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How to Install Qwen3-TTS-12Hz-1.7B-CustomVoice Offline on PC