LineageEval - Audit distillation censorship transfer and financial reasoning
Show HN: Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it
LineageEval is a comprehensive research framework and open-source toolkit designed to rigorously test whether political censorship transfers from teacher models to distilled student models. By training American models like GPT-OSS on outputs from heavily censored Chinese models such as DeepSeek V4 Flash, the project proves that financial reasoning capabilities can be enhanced without inheriting unwanted biases. The suite includes 304 matched prompt pairs, evaluation code, and pre-trained weights, offering developers a transparent way to verify model safety and performance while achieving significant cost reductions compared to competitors like Kimi K3 and Inkling.
We found that a model trained on the outputs of a heavily censored Chinese model shows meaningful improvement in financial reasoning ability and performance, and despite training on the outputs, shares no similar censorship.