Qwen Architecture Analysis: Hybrid Attention to be Standard?
nrehiew_ · x · 2026-08-27
Analysis reveals Qwen uses a 3 GDN to 1 QSA layer architecture. The author predicts that large open models will move towards a hybrid of global and linear/sparse attention, while smaller flash-style models may adopt a linear/sparse mix similar to GLM 5.3 Flash.
Related event: Qwen 3.8-Next Released with Detailed Technical Report(2 posts)→
More from Models
- Zai open-sources 320B GLM-5.3, claims full training on domestic chips — SumitGup · 2026-08-27
- llama.cpp Adds Support for Nanbeige4.2-3B (dspark) Model — pmttyji · 2026-08-27
- Apodex-1.1-mini: Qwen3.5-MoE Powered Multimodal Agent Model — apodex · 2026-08-27
- GLM-5.3 weights will be released tomorrow — serige · 2026-08-27
- TokenSpeed adds Day-0 support for Qwen 3.8 Flash Next architecture — Alibaba_Qwen · 2026-08-27
- AI models show more creativity when talking to each other than in assistant persona — nabeelqu · 2026-08-27