Qwen3-TTS-12Hz-1.7B-Base on AMD/Nvidia GPU Windows

Qwen3-TTS-12Hz-1.7B-Base on AMD/Nvidia GPU Windows

To get this model running locally in no time, utilize the built-in WSL tools.

Refer to the instructions below to proceed.

The system automatically triggers a cloud download for all heavy weights.

The smart installation system will instantly find the perfect configuration.

📄 Hash Value: 6257d619735bde55db4df86bd1b6230b | 📆 Update: 2026-06-28



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Storage:100 GB free space for HuggingFace cache folder
  • 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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