Arete 27B Cuts Propaganda in Qwen3.8-27B Fine-Tune, Scores Higher on Fact Accuracy

Nous Research released Arete 27B on 6 November 2026, an Apache 2.0 supervised fine-tune of Alibaba's Qwen3.8-27B aimed at reinforcing Western values. On the company's 803-prompt values evaluation, the share of answers containing propaganda fell from 22% to 0.9%, and the mean fact score rose from 2.32 to 2.98 out of 5. The model still trails the teacher model Inkling and Mistral Large 4 on fact scores, while general benchmark results were essentially unchanged. The training used roughly 52.8 million tokens of text-only data, with no reinforcement learning or architectural changes. Nous Research published the weights, training pairs and evaluation set, though no hosted provider serves the model yet.