Compact 1.7B Model Outperforms Larger Models in Formal Reasoning

The TwIL-LM2 model demonstrates that a highly specialized 1.7B parameter AI can outperform significantly larger generalist models in strict formal logic tasks. This result suggests that narrow fine-tuning provides a more efficient path for complex reasoning than relying solely on increased model scale.