MOSS-TTS Offline on PC 5-Minute Setup

The fastest way to get this model running locally is via Optional Features.

Simply follow the directions outlined below.

1-click setup: the app automatically fetches the large weight files.

The configuration wizard runs silently to set up the model for peak performance.

📄 Hash Value: 36b7601c382765fd0b23956d55d2881b | 📆 Update: 2026-06-25 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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• Installer deploying local bark audio generation pipelines with custom speaker tokens
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• Installer configuring multi-GPU tensor parallelism for large models
• Launch MOSS-TTS Locally (No Cloud) Local Guide