On March 3, 2026, Junyang Lin — the tech lead and public face of Alibaba’s Qwen open-source AI project — announced his departure in a brief post on X: “me stepping down. bye my beloved qwen.” The exit came just 24 hours after the Qwen team shipped the Qwen 3.5 small model series, and colleague reactions strongly suggest the departure was not voluntary. At least two other Qwen researchers left around the same time, raising questions about the future direction of one of the world’s most influential open-source AI projects.
Lin joined Alibaba in 2019 as a Senior Algorithm Engineer working on NLP and multimodal research. By 2023, he had become the formal tech lead of the Qwen team, steering the project from a nascent lab effort into a global open-source powerhouse. Under his leadership, the Qwen family expanded from early 7-billion-parameter language models into a sprawling portfolio spanning vision-language models (Qwen-VL), audio models, math-specialized models, coding agents, and the reasoning-focused QwQ series.
The numbers speak for themselves: over 600 million downloads and more than 170,000 derivative models on Hugging Face. On Google Scholar, Lin has accumulated over 42,000 citations, with the Qwen3 technical report alone drawing nearly 9,000. Before Qwen, he played central roles in Alibaba’s extreme-scale MoE model M6, OFA (published at ICML 2022, 700+ citations), and Chinese-CLIP. He was also a core maintainer of OpenDevin.
Beyond the technical contributions, Lin was Qwen’s chief communicator — regularly announcing model releases, sharing benchmark results, and engaging directly with the global developer community building on top of Qwen’s models.
Lin’s one-line announcement gave no explanation. But colleague reactions painted a clearer picture. Chen Chang, a Qwen contributor, wrote: “I’m truly heartbroken. I know leaving wasn’t your choice. Just last night, we were side by side launching the Qwen3.5 small model. I honestly can’t imagine Qwen without you.” This strongly suggests the departure was involuntary.
Lin was not alone. At least two other researchers exited around the same time:
Alibaba has not issued any public statement about the departures or the Qwen team’s leadership structure going forward.
The timing is striking. Qwen 3.5 has been one of the most impactful open-source AI releases of 2026 — the small models alone demonstrated that a 9B-parameter model could outperform models 3–13× its size across language, vision, and agentic benchmarks. The project was on a clear upward trajectory.
Losing Lin removes the visible human element that distinguished Qwen in international discourse. While Alibaba maintains operational continuity — the models are released, the infrastructure exists, and the broader team remains — the departure of the tech lead, the community ambassador, and at least two other researchers in a single week raises legitimate questions about internal dynamics at Alibaba’s AI division.
For the open-source AI community, which has increasingly relied on Qwen models as high-quality alternatives to closed-source systems, the key question is whether development momentum and the team’s open-source ethos will survive this leadership transition. Wenting Zhao, a research scientist on the Qwen team, described Lin’s departure simply as “the end of an era.”
