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ITmedia AI+Published: Nov 9, 2026, 13:00 JST

Nous Research releases Arete-27B, a Qwen3.8-27B with Western values

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Nous Research releases Arete-27B, a Qwen3.8-27B with Western values

3 Key Points

  1. What happened

    Nous Research released the weights of Arete-27B, built on Alibaba Cloud's Qwen3.8-27B with post-training on about 52.8 million tokens to correct political bias, using no reinforcement learning or architecture changes.

  2. Why it matters

    The release is meant to show that anyone can tune an open model's values; Nous Research says the cost was small compared with pre-training, and it published the dataset on Hugging Face.

WHO IT HITSDevelopers and organizations that want to use open-weight Chinese models but are concerned about embedded political bias now have a tuning method and dataset they can inspect, according to Nous Research.

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Context & Analysis

Nous Research's release comes amid growing scrutiny of Chinese AI models in the United States. NIST has pointed to political bias in answers on political topics, and in October the Department of Homeland Security ordered that Chinese startup DeepSeek's services and technology be excluded from U.S. government agency procurement. Nous Research also raised the possibility that Chinese models could output more vulnerable code when they judge they are being used by U.S. organizations. To address such effects, the company applied post-training to Qwen3.8-27B aimed at correcting bias on political topics, using a dataset of about 52.8 million tokens. It said the cost was very small compared with pre-training and made the dataset public on Hugging Face. The release drew criticism on X that it incorporates developers' personal political views under the name of Western values, while some users hoped it would be applied to the expected Qwen4 series. Nous Research responded that the release was simply meant to show that anyone can tune an open model's values.

FAQ
How was Arete-27B trained?
Nous Research post-trained Qwen3.8-27B on a dataset of about 52.8 million tokens to correct political bias, without reinforcement learning or architecture changes.
Is the training data available?
Yes, the dataset used for post-training is published on Hugging Face together with the model.
Why did Nous Research make this model?
The company cited risks in Chinese AI models, including political bias noted by NIST and the DHS order excluding DeepSeek from U.S. government procurement, and said it wanted to show that anyone can tune an open model's values.
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Also reported by AI Weekly, GIGAZINE AI

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