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Running this model locally is fastest when deployed through Docker.
Please follow the instructions listed below to get started.
1-click setup: the app automatically fetches the large weight files.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
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🛡️ Checksum: b9f5fa8dff810520999a5a2f0a192994 — ⏰ Updated on: 2026-06-23
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The Qwen3-TTS-12Hz-0.6B-Base model delivers high‑fidelity speech synthesis optimized for a 12 Hz refresh rate, making it ideal for real‑time conversational AI applications. Its compact 0.6 B parameter count balances performance with low memory footprint, enabling deployment on edge devices without sacrificing audio quality. By leveraging advanced diffusion‑based generation, the model produces natural prosody and seamless voice transitions that rival larger baselines. A built‑in speaker embedding system allows rapid voice cloning with just a few reference utterances, enhancing personalization options. The accompanying
| Metric | Qwen3-TTS-12Hz-0.6B-Base | Baseline TTS |
|---|---|---|
| Parameters | 0.6 B | 1.5 B |
| Refresh Rate | 12 Hz | 20 Hz |
| Latency | 45 ms | 70 ms |
| MOS | 4.3 | 4.1 |
https://ujalaac.com/category/optimizers/
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