QwQ-32B-Preview is a causal language model designed by the Qwen Team to advance AI reasoning capabilities. 

QwQ-32B-Preview: 

> 32.5B parameters, 64 layers, and a context length of 32,768 tokens. 
> Architecture: transformers w/ RoPE, SwiGLU, RMSNorm, and Attention QKV bias. 
> Performs well in math and coding but struggles with language mixing, reasoning loops, and nuanced understanding.

QwQ-32B-Preview is a causal language model designed by the Qwen Team to advance AI reasoning capabilities. 

QwQ-32B-Preview: 

> 32.5B parameters, 64 layers, and a context length of 32,768 tokens. 
> Architecture: transformers w/ RoPE, SwiGLU, RMSNorm, and Attention QKV bias. 
> Performs well in math and coding but struggles with language mixing, reasoning loops, and nuanced understanding.

https://huggingface.co/Qwen/QwQ-32B-Preview