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Full Deployment MOSS-TTS on AMD/Nvidia GPU Local Guide

Full Deployment MOSS-TTS on AMD/Nvidia GPU Local Guide

Deploying this model locally is quickest when done via a simple curl command.

Check out the detailed setup guide below to begin.

Everything happens automatically, including the heavy cloud asset download.

To guarantee smooth performance, the process auto-selects the best options.

🧩 Hash sum → b69be73c2e725c25e10524837d7afcdd — Update date: 2026-07-02



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space:70 GB free space for full FP16 weights storage
  • 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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