Qwen3-TTS-12Hz-1.7B-Base on Your PC

Deploying locally takes the least amount of time when executed through native OS tools.

Carefully read and apply the steps described below.

1-click setup: the app automatically fetches the large weight files.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

🔐 Hash sum: 0fa143160227b86bfd413a07c48a5f49 | 📅 Last update: 2026-06-26 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model updates and datasets GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

The Qwen3-TTS-12Hz-1.7B-Base model is a lightweight text‑to‑speech system designed for real‑time voice synthesis at a 12 Hz update rate. It leverages a compact 1.7 B parameter transformer architecture that balances expressive prosody with low computational overhead. The model incorporates multi‑speaker conditioning and a refined acoustic tokenizer to produce natural‑sounding speech across diverse linguistic styles. In benchmark evaluations, it achieves state‑of‑the‑art Mean Opinion Scores while maintaining a modest memory footprint suitable for edge devices. A comparative

showcases its performance against similar models, highlighting superior latency and quality metrics.

Metric	Value
Parameters	1.7B
Update Rate	12 Hz
MOS	4.6
Latency	< 100 ms
Memory	≈ 800 MB

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