Qwen3.8-23B-Mini-Me: A Depth-Pruned Qwen3.8-27B (to ~22.7BB)

Excerpt

I've been working on a depth pruning approach and decided to try it out on the new Qwen3.8-27B model. I managed to get the model down to about 22.7B params without severe reasoning degradation. No fine-tuning was done, just strategic removal of layers. It's been working well for my use cases in coding, agentic use, and multi-turn chats, so I figured I'd shared it with the community. I have not run benchmarks so I'm not going to claim this model is better than anything else out there. It's just a