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Run Qwen3-TTS-12Hz-1.7B-Base One-Click Setup Full Method

The most rapid route to a local installation of this model is through Docker.

Use the instructions provided below to complete the setup.

No manual effort needed; the setup auto-ingests the large data.

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

📤 Release Hash: f7e1eaa06c2eb482668f02211e24c010 • 📅 Date: 2026-06-23
  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Storage: extra room for future model updates and datasets
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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دسته‌بندی‌ها: EXL2