MODEL PROFILE

Ming-3.0-tts-0.5B

inclusionAI · Ming-3.0-tts-0.5B

Ming-3.0-tts-0.5B Dense 0.5B multilingual speech synthesis with paralinguistic and free-form control. 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. > **Inference requires the Ming-3.0-tts GitHub repository.** This Hugging Face repository is for checkpoint distribution and does not provide a standalone inference setup. Clone the GitHub repository and follow its README for the current dependencies, inference code and usage instructions. The CLI scripts and Python APIs referenced below are provided by the GitHub repository.

Speech synthesislicense:mit
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/30 19:34:28
OVERVIEW

Model overview

Ming-3.0-tts-0.5B Dense 0.5B multilingual speech synthesis with paralinguistic and free-form control. 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. > **Inference requires the Ming-3.0-tts GitHub repository.** This Hugging Face repository is for checkpoint distribution and does not provide a standalone inference setup. Clone the GitHub repository and follow its README for the current dependencies, inference code and usage instructions. The CLI scripts and Python APIs referenced below are provided by the GitHub repository.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。