OpenMOSS-Team/MOSS-TTS-Nano-100M
text-to-speech model by OpenMOSS-Team
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
MOSS-TTS-Nano is an open-source multilingual tiny speech generation model from MOSI.AI and the OpenMOSS team. With only 0.1B parameters, it is designed for realtime speech generation, can run directly on CPU without a GPU, and keeps the deployment stack simple enough for local demos, web serving, and lightweight product integration. MOSS-TTS-Nano focuses on the part of TTS deployment that matters most in practice: small footprint, low latency, good enough quality for realtime products, and simple local setup. It uses a pure autoregressive Audio Tokenizer + LLM pipeline and keeps the inference workflow friendly for both terminal users and web-demo users. MOSS-TTS-Nano currently supports 20 languages: We recommend a clean Python environment first, then installing the project in editable mode so the moss-tts-nano command becomes available locally. The examples below intentionally keep arguments minimal and rely on the repository defaults. By default, the code loads OpenMOSS-Team/MOSS-TTS-Nano and OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano. If WeTextProcessing…
Read the full model card ↗ · Preview checked 2026-10-28T04:09:50.555Z
Inside the original model card — Document outline
- MOSS-TTS-Nano
- News
- Demo
- Contents
- Introduction
- Main Features
- Supported Languages
- Quickstart
- Environment Setup
- Using Conda
- Voice Clone with infer.py
- Local Web Demo with app.py
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
OpenMOSS-Team/MOSS-TTS-Nano-100M is a text-to-speech model repository published by OpenMOSS-Team on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- Not reported
- Recent downloads (30 days)
- 112,113
- Cumulative likes
- 248
- Hugging Face trending score
- 2
- Reported safetensors parameters
- Not reported
- Architecture
- MossTTSNanoForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-02T15:13:08.000Z
- Last modified
- 2026-04-13T09:32:58.000Z
Compatibility and lineage
Reported languages: zh, en, de, es, fr, ja, it, he, ko, ru, fa, ar, pl, pt, cs, da, sv, hu, el, tr
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.