Deploy Qwen3-TTS-12Hz-1.7B-CustomVoice

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

Please follow the instructions listed below to get started.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📤 Release Hash: 3676ffecf4ed1c4c75aecf41557b95ec • 📅 Date: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Storage:100 GB free space for HuggingFace cache folder 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.

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