How to Launch MOSS-TTS Step-by-Step

How to Launch MOSS-TTS Step-by-Step

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

Just follow the guidelines provided below.

The system automatically triggers a cloud download for all heavy weights.

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

📡 Hash Check: cd71b7bd15f431c2f83acd673f275fe9 | 📅 Last Update: 2026-06-24



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • 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.

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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