How to Run MOSS-TTS

Running this model locally is fastest when deployed through a PowerShell script.

Check out the detailed setup guide below to begin.

The process automatically pulls down gigabytes of critical model assets.

To save you time, the system will automatically determine efficient resource allocation.

🔗 SHA sum: 52e6329c9a3c6920d54be4d901b24890 | Updated: 2026-06-26 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

MOSS-TTS is a next‑generation text‑to‑speech model that employs a transformer‑based architecture for ultra‑realistic voice generation. It supports multiple languages and dialects, delivering natural prosody and emotion through its advanced phoneme tokenizer and context‑aware encoder. The model achieves *real‑time* synthesis on consumer hardware, thanks to optimized inference kernels and a compact parameter set. A built‑in speaker embedding system allows users to personalize voice characteristics, while a *high‑fidelity* loss function ensures minimal artifacts. The following table summarizes key technical specifications for quick reference.

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