Run Qwen3-TTS-12Hz-1.7B-CustomVoice Using Pinokio Quantized GGUF

Using Docker is the absolute quickest way to install this model on your local machine.

Review and follow the instructions below.

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

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

📦 Hash-sum → faf497e6742e242fbf2c1998a82cdccf | 📌 Updated on 2026-06-23 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: enough space for background apps and OS overhead Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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