Install MOSS-TTS on Copilot+ PC

Install MOSS-TTS on Copilot+ PC

For an instant local deployment, running a pre-configured shell script is ideal.

Please follow the instructions listed below to get started.

The installer automatically pulls the model (could be multiple GBs).

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📄 Hash Value: dd5a0285131b22fd98760bd6575a663f | 📆 Update: 2026-06-29
  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage:100 GB free space for HuggingFace cache folder
  • 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
  1. Installer pre-configuring deepspeed deep learning libraries for local training
  2. Quick Run MOSS-TTS Locally via LM Studio Windows FREE
  3. Setup tool adjusting host operating system paging variables for large model weights packages
  4. Zero-Click Run MOSS-TTS Locally via LM Studio Full Speed NPU Mode Offline Setup Windows
  5. Downloader pulling optimized segmentation models for local medical imaging
  6. MOSS-TTS Uncensored Edition FREE