Nous Research releases Arete-27B, cutting a Chinese open model's propaganda rate from 22% to 1%

NousResearch · x · 2026-11-07

Nous Research post-trained Qwen3.8-27B into Arete-27B, an open model aimed at changing value alignment baked into open weights. They built an 803-prompt eval across seven value categories (free expression, democracy, privacy, etc.) measuring how often a model adopts state-aligned stances. After fine-tuning on 53M tokens, the propaganda rate fell from 22% to 1%, matching Western models tested, with no significant performance tradeoff on Hermes Bench. Eval, weights, and training data are all released, showing a model's values are one fine-tune away.

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