FrontiersMind releases 27-billion-parameter Lumma-Fev decision model
The model chooses among supplied options rather than generating prose; its developer reported 90.7% accuracy on 4,454 test examples.
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FrontiersMind released Lumma-Fev-27B on October 14. The decision model accepts a state and a set of choices, then returns a selected label and probabilities rather than free-form text. The developer says it trained all weights on about 100,000 examples and supports English, Hindi, Tamil and Kannada.
In the developer’s test on 4,454 held-out decisions, Lumma-Fev-27B scored 90.7% accuracy versus 83.9% for TypeSafe Jev, with reported calibration errors of 0.009 and 0.045. The developer says Jev still leads on broader reasoning tests such as BBH and WinoGrande. These are developer-run results, not an independent evaluation.
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FrontiersMind releases 27-billion-parameter Lumma-Fev decision model
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FrontiersMind releases 27-billion-parameter Lumma-Fev decision model
The model chooses among supplied options rather than generating prose; its developer reported 90.7% accuracy on 4,454 test examples.
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This structured record summarizes the cited announcement; it is not an independent performance evaluation.
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