QwQ-32B-Preview: An Experimental AI Model
The Qwen Team’s experimental research model, QwQ-32B-Preview, showcases promising analytical abilities but with several limitations:
- Language Mixing and Code-Switching: May switch between languages unexpectedly.
- Recursive Reasoning Loops: May enter circular reasoning patterns.
- Safety and Ethical Concerns: Requires enhanced safety measures for secure performance.
Specifications:
- Type: Causal Language Models
- Training Stage: Pretraining & Post-training
- Architecture: Transformers with advanced components (RoPE, SwiGLU, RMSNorm, Attention QKV bias)
- Number of Parameters: 32.5B
- Number of Layers: 64
What I have read is that people use it for coding and code reviews. Some raised some issues with mixing Chinese characters and English text. Also, the model was successfully run on an M4 with 36GB.