MOSS-TTS Windows 11 with 1M Context

MOSS-TTS Windows 11 with 1M Context

To install this model locally in the shortest time, opt for a direct curl execution.

Please follow the instructions listed below to get started.

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

The installer will automatically analyze your hardware and select the optimal configuration.

📘 Build Hash: 4851e4e70d87641da8db7af9c9e3215d • 🗓 2026-07-02



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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