Model card: Ettin-150M is the base model (fine-tuned); SigLIP 2 is used frozen, credited in NOTICE.md

Model card: drop the distillation tag

Model card: tighter prose throughout; same facts

Model card: charts, MIT licence, a pass over the text; topic_classifier.py: parallel picture resize, one shared GPU worker, optional stage timing

Module decodes pictures on threads and prepares the next batch while the GPU works

Module reads picture bytes and reports pictures_used; config records the post document version

Fusion topic classifier: Ettin-150M + frozen SigLIP 2 picture embeddings, taxonomy v2.1

initial commit