Qwen2.5-32B Brings Uncensored AI to Macs

This matters because Apple’s unified memory makes large local models unusually accessible, but “uncensored” should not be confused with strictly better.

• –4-bit MLX builds require roughly 18.5GB, making the model viable on Macs with 24GB or more unified memory
• –MLX can outperform equivalent llama.cpp deployments on Apple Silicon through tighter Metal and memory integration
• –Removing refusal behavior expands creative, research, and experimentation use cases, while shifting safety responsibility to the operator
• –Community testing suggests uncensoring can reduce benchmark performance, so users should evaluate quality for their own workloads
• –The model’s age means newer Qwen releases may offer better reasoning, but Qwen2.5-32B remains a strong local baseline