inclusionAI releases Ming-3.0-audio-tiny, a 9.3B audio-language MoE under MIT
inclusionAI has published Ming-3.0-audio-tiny on Hugging Face, a native audio-language model that takes audio plus text instructions and supports speech recognition, spoken question answering, audio understanding, audio reasoning and optional synthesized-speech responses. Its model card describes a Mixture-of-Experts design with 9.3B total parameters and 2.7B activated per inference step, with Chinese and English as primary languages including varied accents and dialects, released under the MIT license. The capability and parameter details come from the vendor model card shared by a user on r/LocalLLaMA, and no independent benchmark results were provided.
It offers speech recognition, audio reasoning and optional speech synthesis at a 9.3B-total/2.7B-active scale under an MIT open-weight license, adding another compact option in open audio-language models.
| Hear clearly. Understand deeply. Act intelligently. Ming-3.0-audio-tiny is a compact 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. Model Summary Highlights submitted by /u/jacek2023 [link] [comments] |
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