Ming-3.0-tts-tiny

Headlines · 2

1. Oct 21
   Ant Group open-sources Ming-3.0-tts, tops two open-source TTS leaderboards

   Ant Group has released Ming-3.0-tts, an open-source text-to-speech model whose weights are published on Hugging Face under the MIT license, according to AIbase AI新闻. The release includes a 0.5B dense model and a 7.9B mixture-of-experts variant called Ming-3.0-tts-tiny, and the model offers preset voices plus stateless voice cloning. AIbase, citing Artificial Analysis leaderboards, reports that Ming-3.0-tts scored 93.2% on pronunciation robustness to tie for first among 31 models ahead of Eleven v4 at 91.7%, ranked first among open-source models in the Controlled Voice Arena with a 1,069 Elo over 1,827 evaluations and 13th overall, and placed third among open-source models in Provider Voice with 1,188 Elo over 1,957 evaluations and 19th overall.

   AIbase AI新闻 · 🔥 0
2. Oct 19
   Ant Group's inclusionAI open-sources Ming-3.0 speech series with five MIT-licensed models

   Ant Group's inclusionAI released the Ming-3.0 speech series, five open-weight models split across text-to-speech (Ming-3.0-tts-0.5B and tts-tiny), audio understanding and dialogue (Ming-3.0-audio-flash and audio-tiny) and speech recognition (Ming-3.0-asr-tiny), with weights on Hugging Face and ModelScope and API plus online demos through Ling Studio, per IT之家 and AIbase. Model cards posted on r/LocalLLaMA list Ming-3.0-audio-flash as a native audio-language Mixture-of-Experts model with 126B total parameters and 6.5B activated per step, and audio-tiny at 9.3B total and 2.7B active, both under the MIT license and taking audio plus text instructions with optional synthesized-speech output. The TTS line adds a Voice Design mode driven by text or reference audio and a "director mode" for emotion, word stress and pacing, while AIbase reports Artificial Analysis October 2026 results putting Ming-3.0-tts-0.5B at 93.2% on Pronunciation Robustness and 1069 Elo on Controlled Voice, and Ming-3.0-audio-flash at 99.40 on BigBenchAudio (S2T) — figures that remain vendor- and report-sourced.

   r/LocalLLaMA · 🔥 0

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