inclusionAI/Ming-3.0-tts-0.5B
text-to-speech model by inclusionAI
From the publisher
Model card & documentation
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Ming-3.0-tts-0.5B Dense 0.5B multilingual speech synthesis with paralinguistic and free-form control. GitHub | Blog & Demos | ModelScope This repository contains Ming-3.0-tts-0.5B, the dense Ming-3.0-tts checkpoint built on Qwen2.5-0.5B. The checkpoint includes the backbone, DiT head, audio tokenizer, speaker encoder and text tokenizer. Recommended built-in voices: UKGeorge, USEmma, 灵小柔 and 灵楷. See the voice catalog for the full list and voice descriptions. Use the exact ip values shown. Tested on NVIDIA H800-80GB and H20-96G with CUDA 12.4. flash-attn is optional; inference falls back to PyTorch SDPA. Numbers, dates, units and symbols are normalized with FST grammars. Install pynini, or pass --notextnormalization to skip text normalization: Supported tasks are TTS, FREEFORM, VOICEDESIGN, MULTILINGUAL, BASIC, EMOTION, DIALECT and IP. See the task cookbook for controls and examples. MULTILINGUAL requires languageid for German, Spanish, French, Korean or Japanese; DIALECT takes no language ID. Freeform uses its own task…
Read the full model card ↗ · Preview checked 2026-10-27T22:07:48.091Z
Inside the original model card — Document outline
- Model Details
- Capabilities
- Quick Start
- Installation
- Download
- CLI Inference
- Python API
- Verify the Checkpoint
- Performance
- Zero-shot TTS (Seed-TTS testset)
- Multilingual (MiniMax test set, selected languages)
- Paralinguistic Control (NVBench)
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
inclusionAI/Ming-3.0-tts-0.5B is a text-to-speech model repository published by inclusionAI on Hugging Face. The source reports the transformers library.
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
- transformers
- Recent downloads (30 days)
- 8,425
- Cumulative likes
- 186
- Hugging Face trending score
- 80
- Reported safetensors parameters
- 1,479,454,868
- Architecture
- BailingMMNativeForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-22T12:46:58.000Z
- Last modified
- 2026-10-27T12:07:15.000Z
Compatibility and lineage
Reported languages: zh, en, de, es, fr, ko, ja
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.