Expired50% confidenceFactExact time
The Qwen3-32B model contains 64 Transformer decoder layers.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling
bilibili乐优科技5/29/2026
Related Claims
UnverifiedQwen (Tongyi Qianwen) is developed by Alibaba Cloud and is based on the Transformer Decoder architecture.68% similarVerifiedThe Qwen 3.5 architecture uses an improved Transformer variant that incorporates technologies such as Grouped Query Attention (GQA) and Rotary Position Embedding (RoPE).65% similarUnverifiedLlama-3 70B采用80层Transformer、每层64个注意力头、每头128维配置，并采用GQA设计65% similarUnverifiedQwen3.6-27B采用稠密（Dense）架构，而非MoE（Mixture of Experts）架构63% similarUnverifiedQwen底层架构基于Transformer技术，参数规模从70亿到数千亿不等63% similar
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