How to Launch MOSS-TTS with Native FP4

If you want the fastest local installation for this model, use Docker.

Review and follow the instructions below.

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

The smart installation system will instantly find the perfect configuration for your specific hardware.

📦 Hash-sum → 22d3d7b48974563aed9be56f2628293e | 📌 Updated on 2026-06-23

Processor: Intel i7 / Ryzen 7 for heavy Quantized models
RAM: at least 32 GB in dual-channel mode for bandwidth
Disk Space: required: fast PCIe 4.0 drive for instant boots
Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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