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maximehpe/chest-vlm-run12

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Chest-VLM Run 12 — Study auxiliary loss (safety)

LoRA adapter fine-tuned on MedGemma 1.5 4B IT for dual-view chest X-ray structured ontology output (<Ontology v=2>).

Training objective: weighted token loss + study auxiliary loss (abnormal/indeterminate class weights ×2).

Recommended when: minimising missed pathologies (highest Normal precision, fewest false normals).

python

from peft import PeftModel
# Load base google/medgemma-1.5-4b-it, then:
model = PeftModel.from_pretrained(model, "maximehpe/chest-vlm-run12")

Or download via the project:

bash

python script/download_model.py --run_name 12_medgemma_ontology_study_loss

Not for clinical use. Research prototype only.