Julia 1 puts a 144.3M-parameter decision model in reach
Julia 1 is a 144.3M-parameter model for turning supplied context, a question, and possible answers into classifications, routes, scores, or Boolean decisions. It reached 94% on a 100-example AG News pilot and 86% on DAIR Emotion, while scoring 64% on a Banking77 pilot, showing the model’s focused strengths and its limits with long label lists. Its 73.15% typed-decision score was 0.45 points above the supplied Jev reference.