The fastest way to get this model running locally is via Docker.

Use the instructions provided below to complete the setup.

After that, launch the environment using docker-compose.

💾 File hash: e1bed9b08faabe773d074c6be1b9a897 (Update date: 2026-06-27) Verify Processor: next-gen chip for heavy context processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline

The Qwen3-TTS-12Hz-0.6B-CustomVoice model delivers high‑quality text‑to‑speech synthesis optimized for a 12 Hz sampling rate. With only 0.6 B parameters, it runs efficiently on consumer hardware while preserving natural prosody and voice characteristics. The built‑in CustomVoice module enables rapid voice cloning and personalization, allowing developers to fine‑tune outputs for specific branding needs. Performance benchmarks, as shown in the table below, highlight its low latency and competitive MOS scores compared to larger models. Overall, the model balances real‑time generation with rich expressive capabilities, making it suitable for interactive applications and dynamic content creation.

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