Setup MOSS-TTS One-Click Setup

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

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The smart installation system will instantly find the perfect configuration.

📘 Build Hash: 8e50ef7c5f173daf2e63818e66e0868b • 🗓 2026-06-23 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: minimum 16 GB for stable 8B model loading Storage:100 GB free space for HuggingFace cache folder Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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.

1. Installer pre-configuring CUDA and cuDNN for local inference
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