| --- |
| license: mit |
| library_name: pytorch |
| pipeline_tag: text-to-speech |
| language: |
| - zh |
| - en |
| - ja |
| - ko |
| - de |
| - fr |
| - es |
| tags: |
| - text-to-speech |
| - voice-cloning |
| - voice-design |
| - mirror |
| base_model: |
| - inclusionAI/Ming-3.0-tts-0.5B |
| - inclusionAI/Ming-3.0-tts-tiny |
| --- |
| |
| # Ming-3.0-tts — mirror for Mæstræa |
|
|
| A verbatim mirror of **inclusionAI's Ming-3.0-tts** checkpoints, laid out for the [Mæstræa](https://github.com/AEmotionStudio) AI Workstation (AI ▸ Voice ▸ Ming TTS). All credit for the models goes to inclusionAI: see the [original repository](https://github.com/inclusionAI/Ming-3.0-tts) and the model cards for [0.5B](https://huggingface.co/inclusionAI/Ming-3.0-tts-0.5B) and [tiny](https://huggingface.co/inclusionAI/Ming-3.0-tts-tiny). |
|
|
| ## License |
|
|
| MIT, © 2025 inclusionAI — the same license as the upstream code and weights (see `LICENSE`). Nothing here is relicensed. |
|
|
| Upstream's usage note applies: use voice cloning and built-in voices only for research and legitimate creative purposes, do not impersonate real people without consent, and label synthetic speech where it could be mistaken for a real recording. |
|
|
| ## Layout |
|
|
| | Path | Upstream | Contents | |
| |---|---|---| |
| | `0.5b/` | `inclusionAI/Ming-3.0-tts-0.5B` @ `8d66b70a` | Qwen2.5-0.5B backbone + DiT flow head + audio VAE (`model.safetensors`, bf16), CAM++ speaker encoder (`campplus.onnx`), tokenizer, upstream model card | |
| | `0.5b/tn/` | GitHub `inclusionAI/Ming-3.0-tts` @ `028c1eac` (`frontend/talker_tn/`) | The four Chinese/English text-normalization FST grammars the 0.5B pipeline loads | |
| | `tiny/` | `inclusionAI/Ming-3.0-tts-tiny` @ `7bd9446a` | Ling-V3 MoE (7.9B total, 1.3B active) in 30 bf16 shards + index, CAM++, tokenizer, chat template, upstream model card | |
|
|
| Every file is byte-identical to its source. `<lane>/sha256.json` records the digest, size and source of each file. The upstream remote-code `.py` files are not mirrored: Mæstræa vendors the inference code and never loads remote code. |
|
|
| ## What changed |
|
|
| Nothing in the weights. Mæstræa's runtime differs from upstream's only in how it loads them. It runs on newer transformers, with a decode-mask fix, CUDA-graphed sampling heads, and a GPU expert cache that pages tiny's routed experts on 12 GB cards. Its built-in voice list is limited to the original studio voices; the upstream catalogue's character and actor voices are not offered. |
|
|
