Nous Research 在阿里 Qwen3.8-27B 基础上做后训练，强化西方价值观，开源了 Arete-27B（取自古希腊语 ἀρετή，意为卓越/美德）。 国产开源底座确实版本 T0，但权...
Nous Research 在阿里 Qwen3.8-27B 基础上做后训练，强化西方价值观，开源了 Arete-27B（取自古希腊语 ἀρετή，意为卓越/美德）。
国产开源底座确实版本 T0，但权重里自带思想钢印。他们这次证明了一个很关键的结论：这层钢印其实很浅，根本没入脑，花点蚊子腿成本就能给它彻底刮干净，而且写代码和 Agent 能力一滴没掉，划重点：低成本。
评测设计是这次最有深度的地方。他们开源了 803 道题的 Propaganda_Eval（涵盖言论自由、监控与隐私等 7 类），直接拉来 Grok 4.7 当盲评青天：一边测“事实分”，只要拿官方说辞否定任一核心事实直接记 0 分；一边测“宣传分”，把官方口径当既定事实背书才算，裁判必须摘录原话当证据，不能乱扣帽子。
训练甚至没上强化学习，只用 5280 万 token（2 万条 prompt、约 5 万样本，全走代码级 PR 审核）做普通微调，就把这项评测里的宣传率从 22% 压到了 0.9%。选老师模型时还有个插曲：原本想用 Nemotron 3 Ultra，结果测出它在涉华话题上也被开源数据“交叉污染”了，最后才选了表现最干净的 Inkling。
国产开源底座确实版本 T0，但权重里自带思想钢印。他们这次证明了一个很关键的结论：这层钢印其实很浅，根本没入脑，花点蚊子腿成本就能给它彻底刮干净，而且写代码和 Agent 能力一滴没掉，划重点：低成本。
评测设计是这次最有深度的地方。他们开源了 803 道题的 Propaganda_Eval（涵盖言论自由、监控与隐私等 7 类），直接拉来 Grok 4.7 当盲评青天：一边测“事实分”，只要拿官方说辞否定任一核心事实直接记 0 分；一边测“宣传分”，把官方口径当既定事实背书才算，裁判必须摘录原话当证据，不能乱扣帽子。
训练甚至没上强化学习，只用 5280 万 token（2 万条 prompt、约 5 万样本，全走代码级 PR 审核）做普通微调，就把这项评测里的宣传率从 22% 压到了 0.9%。选老师模型时还有个插曲：原本想用 Nemotron 3 Ultra，结果测出它在涉华话题上也被开源数据“交叉污染”了，最后才选了表现最干净的 Inkling。
Nous Research@NousResearch
Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values.
Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line.
After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs.
The values in an open model are one fine-tune away.
Our eval, weights, and training data are available now along with the full blog post: nousresearch.com/arete
Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line.
After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs.
The values in an open model are one fine-tune away.
Our eval, weights, and training data are available now along with the full blog post: nousresearch.com/arete
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