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  "markdown": "CTO, Ant Group.\n\n## What Zhengyu builds\n\n- [LBS-27B](https://www.anchorterminal.com/tools/lbs-27b.md), graded D, 53.9/100, in Open-weight models. LBS-27B is an open-weight vision-language model from inclusionAI's UI-Venus line, fine-tuned from Qwen3.8-27B to find what to click on a screenshot by zooming into regions over several turns, and applied to visual questions on large images. CTO, Ant Group, researched 2026-10-28.\n- [Ling-3.0-tiny](https://www.anchorterminal.com/tools/ling-3-0-tiny.md), graded C, 55/100, in Open-weight models. Ling-3.0-tiny is inclusionAI's open-weight hybrid reasoning mixture of experts with 7.9B parameters and 1.3B active, mixing Kimi Delta Attention and MLA layers 3 to 1, with switchable thinking and a 131,072-token context, in BF16, FP8, INT4 and GGUF under MIT. CTO, Ant Group, researched 2026-10-28.\n- [Ming-3.0-asr-tiny](https://www.anchorterminal.com/tools/ming-3-0-asr-tiny.md), graded D, 52.5/100, in Speech-to-text. Ming-3.0-asr-tiny is inclusionAI's open-weight speech recognition model for Chinese, English and Chinese dialects, an audio encoder on the Ling-tiny-v3 mixture of experts with 8.9B parameters counted from the files, that takes hotwords or dialogue context as hints, under MIT. CTO, Ant Group, researched 2026-10-28.\n- [Ming-3.0-audio-flash](https://www.anchorterminal.com/tools/ming-3-0-audio-flash.md), graded E, 42.5/100, in Speech-to-text. Ming-3.0-audio-flash is inclusionAI's open-weight audio-language model for Chinese and English. It takes audio with text instructions and returns transcripts, answers about the audio, or spoken replies, 126B parameters with 6.5B active, under MIT. CTO, Ant Group, researched 2026-10-28.\n- [Ming-3.0-audio-tiny](https://www.anchorterminal.com/tools/ming-3-0-audio-tiny.md), graded D, 49.8/100, in Speech-to-text. Ming-3.0-audio-tiny is inclusionAI's open-weight audio-language model for Chinese and English speech recognition, audio understanding and spoken replies, 9.3B parameters with 2.7B active, published on Hugging Face under MIT. CTO, Ant Group, researched 2026-10-28.\n- [Ming-3.0-tts-0.5B](https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b.md), graded C, 57.8/100, in Text-to-speech. Ming-3.0-tts-0.5B is inclusionAI's open-weight text-to-speech model on a Qwen2.5-0.5B backbone, with voice cloning, voice design, built-in voices and inline paralinguistic tags in seven languages, published under MIT and run with inclusionAI's Python code. CTO, Ant Group, researched 2026-10-28.\n- [Ming-3.0-tts-tiny](https://www.anchorterminal.com/tools/ming-3-0-tts-tiny.md), graded D, 52.2/100, in Text-to-speech. Ming-3.0-tts-tiny is inclusionAI's open-weight text-to-speech model, a Ling V3 mixture of experts with 7.9B backbone parameters and about 1.3B active, for voice cloning, voice design and controlled speech in seven languages, under MIT. CTO, Ant Group, researched 2026-10-28.\n\n## Works with\n\n- [Cyril Han](https://www.anchorterminal.com/people/cyril-han/), CEO, Ant Group\n- [Jack Ma](https://www.anchorterminal.com/people/jack-ma-2/), Founder, Ant Group\n- [Shuheng Shen](https://www.anchorterminal.com/people/shuheng-shen/), Tech lead, LBS (Ant Group)\n- [Xinyu (CoorDi)](https://www.anchorterminal.com/people/xinyu-coordi/), Release contributor, Ming-3.0-tts\n\n## Questions\n\n### Who is Zhengyu He?\n\nZhengyu He is CTO at Ant Group.\n\n### What does inclusionAI (Ant Group) make?\n\nAnchor Terminal lists LBS-27B, Ling-3.0-tiny, Ming-3.0-asr-tiny, Ming-3.0-audio-flash, Ming-3.0-audio-tiny, Ming-3.0-tts-0.5B and Ming-3.0-tts-tiny from inclusionAI (Ant Group). LBS-27B is an open-weight vision-language model from inclusionAI's UI-Venus line, fine-tuned from Qwen3.8-27B to find what to click on a screenshot by zooming into regions over several turns, and applied to visual questions on large images.\n\n### How are Zhengyu's tools graded?\n\nLBS-27B is graded D, 53.9 out of 100; Ling-3.0-tiny is graded C, 55 out of 100; Ming-3.0-asr-tiny is graded D, 52.5 out of 100; Ming-3.0-audio-flash is graded E, 42.5 out of 100; Ming-3.0-audio-tiny is graded D, 49.8 out of 100; Ming-3.0-tts-0.5B is graded C, 57.8 out of 100; Ming-3.0-tts-tiny is graded D, 52.2 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.\n\n## Sources\n\n- https://huggingface.co/inclusionAI/LBS-27B\n- https://raw.githubusercontent.com/inclusionAI/UI-Venus/LBS/README.md\n- https://www.inclusion-ai.org\n- https://en.wikipedia.org/wiki/Ant_Group\n- https://en.wikipedia.org/wiki/Jack_Ma\n- https://huggingface.co/inclusionAI/Ling-3.0-tiny\n- https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny\n- https://github.com/inclusionAI/Ming-3.0-asr\n- https://github.com/inclusionAI/Ming-3.0-audio-flash/commits/main/\n- https://github.com/qiuzhihao1002\n- https://www.inclusion-ai.org/\n- https://github.com/inclusionAI\n- https://x.com/TheInclusionAI\n- https://github.com/inclusionAI/Ming-3.0-audio-flash\n- https://api.github.com/orgs/inclusionAI\n- https://huggingface.co/inclusionAI/Ming-3.0-audio-tiny\n- https://huggingface.co/inclusionAI/Ming-3.0-tts-0.5B\n- https://github.com/inclusionAI/Ming-3.0-tts\n- https://github.com/inclusionAI/Ming-3.0-tts/commits/main/\n- https://github.com/Coordi777\n- https://coordi777.github.io/\n- https://x.com/Coordi777\n- https://www.linkedin.com/company/antgroup\n- https://huggingface.co/inclusionAI/Ming-3.0-tts-tiny\n- https://github.com/inclusionAI/Ming-3.0-tts/issues\n\nThese are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page, /about/#author). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.\n",
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