inclusionAI/Ming-3.0-tts
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.
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From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Ming-3.0-tts Multilingual speech synthesis with free-form and paralinguistic control. 🤗 Hugging Face｜ 🤖 ModelScope ｜ 📑 Blog & Demos ｜ 💬 DingTalk(钉钉) Ming-3.0-tts provides two speech-generation models: 0.5b, a dense model, and tiny, a MoE model built on Ling V3 (7.9B total · 1.3B active). On the independent Artificial Analysis text-to-speech leaderboards (October 2026), Ming-3.0-tts ranks 1st among open-weights models on Controlled Voice, 1st overall on Pronunciation Robustness, and 3rd among open-weights models on Provider Voice. Ranks change as new models are added. Within Pronunciation Robustness, Ming-3.0-tts also ranks 1st on Expanding Shorthand (text normalization, 96.5%) and Preserving Exact Sequences (sequence fidelity, 90.6%). Capabilities use separate task modes, not arbitrary combinations. See the Cookbook for supported inputs, Performance for benchmarks, and Blog & Demos for audio examples. https://github.com/user-attachments/assets/4062ba4c-7d2d-4a45-a19b-760100b79f9c Text and task-specific control tokens condition a language model with a DiT patch head and an audio tokenizer. Both models share this…
Read the full README ↗ · Preview checked 2026-11-01T01:00:27.086Z
Inside the original README — Document outline
- 🏆 Artificial Analysis Leaderboards
- Featured Abilities
- Demo Video
- Architecture
- News
- Roadmap
- Contents
- Models
- Quick Start 🚀
- Installation
- Model Download
- Text Normalization
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What this repository does
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.
Repository facts
- Owner
- inclusionAI
- Primary language
- Python
- Stars
- 298
- Forks
- 23
- Open issues + pull requests
- 9
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-10-19T07:03:25.000Z
- Last push
- 2026-10-21T11:04:56.000Z
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Source and freshness
Source: GitHub. Metadata observed 2026-10-26T12:14:13.276Z. Daily imports are snapshots, not real-time monitoring.
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