MOSS-TTS For Low VRAM (6GB/8GB) Windows

MOSS-TTS For Low VRAM (6GB/8GB) Windows

For the fastest local setup of this model, Docker is the best choice.

Please follow the instructions listed below to get started.

Hands-free setup: the system self-downloads the heavy model files.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🔒 Hash checksum: 1ba9c106f2e4e946d12e1fc20f79f977 • 📆 Last updated: 2026-06-26



  • Processor: next-gen chip for heavy context processing
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space:70 GB free space for full FP16 weights storage
  • 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.

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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