[Model] catmind-1.2b

Explain Like I'm Normal

A developer fine-tuned the LFM 1.2B thinking model to use its chain-of-thought processing power for daydreaming about cats instead of solving the user's prompt. While accuracy plummeted to 24%, the project proves that 'reasoning' tokens can be hijacked for specific narrative styles regardless of the actual task. It is a hilarious experiment in how stubborn a fine-tune can be against its base alignment.