This is a small paired benchmark comparing the reasoning-token usage of:
- ThinkingCap:
huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated, converted locally to text-only Q4_K_M GGUF - Baseline:
huihui-ai/qwen3.6-27b-abliterated, Q4_K GGUF
Both models are dense Qwen3.6 27B derivatives. The Q4_K label is an alias of the Q4_K_M mixed quantization recipe in current llama.cpp, and both files were approximately 16.81 GB.