Building a listed tool
Yang Su
Named behind 4 listings on Anchor Terminal.
What Yang builds
Qwen3.5-0.8B D · Open-weight models
Qwen3.5-0.8B is the smallest model in Alibaba's Qwen3.5 family, 0.8B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research.
Agent research lead, Qwen series, researched 27 October 2026 · the people behind it
Qwen3.5-2B D · Open-weight models
Qwen3.5-2B is a small model in Alibaba's Qwen3.5 family, 2B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research.
Agent research lead, Qwen series, researched 27 October 2026 · the people behind it
Qwen3.6-27B B · Open-weight models
Qwen3.6-27B is Alibaba's open-weight dense vision-language model of 27B parameters, tuned for agentic coding, with thinking on by default, preserved thinking across turns and a 262,144-token context, published on Hugging Face in BF16 and FP8 under Apache 2.0.
Agent research lead, Qwen series, researched 27 October 2026 · the people behind it
Qwen3.8-27B B · Open-weight models
Qwen3.8-27B is Alibaba's open-weight dense vision-language model of 27B parameters, with thinking on by default and a 262,144-token context, published on Hugging Face in BF16 and FP8 under Apache 2.0.
Agent research lead, Qwen series, researched 27 October 2026 · the people behind it
Works with
- Eddie Wu Co-founder, Director and CEO, Alibaba Group
- Jack Ma Co-founder, Alibaba Group
- Jane Jiang Co-founder and Chief People Officer, Alibaba Group
- Jin Xu First author, Qwen3-Omni Technical Report
- Joe Tsai Co-founder and Chairman, Alibaba Group
Questions
Who is Yang Su?
Yang Su is agent research lead at Qwen series.
What does Alibaba (Qwen team) make?
Anchor Terminal lists Qwen3.5-0.8B, Qwen3.5-2B, Qwen3.6-27B and Qwen3.8-27B from Alibaba (Qwen team). Qwen3.5-0.8B is the smallest model in Alibaba's Qwen3.5 family, 0.8B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research.
How are Yang's tools graded?
Qwen3.5-0.8B is graded D, 46.7 out of 100; Qwen3.5-2B is graded D, 50.5 out of 100; Qwen3.6-27B is graded B, 67.2 out of 100; Qwen3.8-27B is graded B, 68.6 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.
Sources (14)
- https://www.linkedin.com/in/yang-su2000
- https://huggingface.co/Qwen/Qwen3.5-0.8B
- https://qwen.ai/blog?id=qwen3.5
- https://x.com/YangSu2000
- https://x.com/Alibaba_Qwen
- https://www.linkedin.com/company/alibaba-cloud-computing-company/
- https://qwen.ai/
- https://github.com/QwenLM/Qwen3.5
- https://huggingface.co/Qwen/Qwen3.5-2B
- https://qwen.ai/blog?id=qwen3.6-27b
- https://github.com/QwenLM
- https://huggingface.co/Qwen
- https://huggingface.co/Qwen/Qwen3.8-27B
- https://github.com/QwenLM/Qwen3.8
These 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). 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.