Fin-SD Enables Localized Self-Distillation for Financial Reasoning
October 25, 2026
Fin-SD provides a recipe for on-policy self-distillation designed for small, locally-hosted models with data-residency constraints. The method allows a student model to identify its own reasoning errors and generate critiques to improve multi-step quantitative reasoning without a heavy external teacher.
HOW THIS AFFECTS YOU
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builderYou can improve reasoning in small, local models using their own error-correction trajectories.
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founderThis provides a path to deploy high-reasoning financial models within strict data-residency constraints.