Matilda-Jev is Maincode's one-pass decision model. It scores the options supplied in a choice, noul (yes/no), or ordered score question. It accepts text or JSON state and optional images. This is a decision checkpoint with a 255-option readout, not a text-generation checkpoint. This configuration edition uses MatildaJevModel, MatildaJevConfig, and MATILDA tokenizer/processor classes. Use the bundled runtime below, or load the custom AutoClasses with trustremotecode=True. The package includes the backbone weights, decision readout, tokenizer, preprocessing configuration and calibrated temperature. On AMD MI355X with Python 3.12, Transformers 5.17.0 and PyTorch 2.14.0: - 25/25 smoke-test…