MOSS-TTS on AMD/Nvidia GPU For Beginners

For the fastest local setup of this model, enabling Windows Features is best.

Please follow the instructions listed below to get started.

The script takes care of fetching the multi-gigabyte model weights.

During setup, the script automatically determines and applies the best settings.

🔗 SHA sum: b844d621525d716eab386fff9cbc018c | Updated: 2026-06-25 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: required: 16 GB absolute minimum for small models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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.

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