Catmind-1.2b Fine-tune Reduces Reasoning Accuracy to 24.3%
July 18, 2026
Catmind-1.2b is a fine-tuned version of LFM2.5-1.2B-Thinking designed to output cat-themed stories in the reasoning block instead of logical steps. Testing on the crucible dataset shows accuracy dropping from 75.6% in the base thinking model to 24.3%.
HOW THIS AFFECTS YOU
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researcherUse this as a baseline for studying how unintended fine-tuning objectives can degrade reasoning capabilities in small models.