MOSS-TTS on Your PC One-Click Setup Easy Build

The fastest method for installing this model locally is by using Docker.

Review and follow the instructions below.

Just look at the steps below to finish the installation.

🔍 Hash-sum: 7910df9cc202ece4b5562b090b5b381b | 🕓 Last update: 2026-06-24



  • Processor: next-gen chip for heavy context processing
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Storage: extra room for future model updates and datasets
  • Graphics: 12 GB VRAM minimum required for basic quantization

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.

Parameter Value
Model Type Transformer‑based TTS
Supported Languages 30+ languages & dialects
Parameter Count 150M
Synthesis Speed ≤ 50 ms per 100 characters
Speaker Embeddings Customizable voice profiles
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