Full Deployment MOSS-TTS Offline on PC Full Speed NPU Mode Easy Build Windows

For an instant local deployment, running a pre-configured shell script is ideal.

Review and follow the instructions below.

The tool automatically synchronizes and downloads the model database.

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

📎 HASH: f490f6013037fa0328a9d647d8dc9a96 | Updated: 2026-06-28 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for stable 8B model loading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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