This is v1, the shipped model (branch main): a 12-class intent classifier for logistics chat messages, fine-tuned from intfloat/multilingual-e5-base, with an optional abstention flag for messages unlike the training data. A robustness variant (v3) is on branch robust-v3. Model fingerprint (sha256 of fp32 state dict): 7ca22e16d2ace345d9dcf7737887e85fedf400a1dfc863678c2fc2663bf102bd Abstention (the out-of-distribution flag) is NOT part of the plain model: it needs predict.py and oodbank.safetensors from the same repository, used as follows. Confidences are temperature-scaled (T = 1.0228); messages whose Mahalanobis score falls below the threshold (-128.06 v1 / -178.56 v3; this model's…