Launch Qwen3-TTS-12Hz-1.7B-Base Locally (No Cloud) with 1M Context
Running this model locally is fastest when deployed through Docker.
Please follow the instructions listed below to get started.
The setup auto-streams the model assets (expect a multi-GB download).
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
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
| Metric | Value |
|---|---|
| Parameters | 1.7B |
| Update Rate | 12 Hz |
| MOS | 4.6 |
| Latency | < 100 ms |
| Memory | ≈ 800 MB |
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