inclusionAI/Ming-3.0-audio-flash
text-to-speech model by inclusionAI
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Model card & documentation
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Ming-3.0-audio-flash Hear clearly. Understand deeply. Act intelligently. Ming-3.0-audio-flash is a native audio-language model from inclusionAI. It accepts audio together with text instructions and supports speech recognition, spoken question answering, audio understanding, audio reasoning, and optional synthesized-speech responses. Ming-3.0-audio-flash combines an audio encoder and projector with a Mixture-of-Experts language backbone. An optional Talker generates speech responses from the model's output. The model uses custom Transformers code. Review the repository code before enabling trustremotecode=True. The validated ASR prompt asks the model to identify the spoken language and place a tab between the language label and transcription. The Talker example supports built-in voices and reference-audio voice prompting: See the voice guide for available voice names and reference-audio usage. The reference 128K serving profile uses tensor parallelism across four 80 GB H800 GPUs. Select the deployment YAML that matches text-only or Talker output. On particularly long audio inputs, the four-GPU profiles may OOM; in…
Read the full model card ↗ · Preview checked 2026-10-31T15:25:23.523Z
Inside the original model card — Document outline
- Model Summary
- Highlights
- Architecture
- Quick Start with Transformers
- Audio Understanding
- Speech Recognition
- Direct Python Usage
- Speech Output
- Serving
- vLLM-Omni
- SGLang
- SGLang-Omni
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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-audio-flash 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)
- 587
- Cumulative likes
- 65
- Hugging Face trending score
- 65
- Reported safetensors parameters
- 128,181,010,400
- Architecture
- BailingMoeV3AudioForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-03T11:49:27.000Z
- Last modified
- 2026-10-22T09:43:27.000Z
Compatibility and lineage
Reported languages: en, zh
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 2026-10-26T06:46:02.726Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.