Model Detail
medgemma-4b-it
—medgemma-4b-it is a multimodal model with 4B parameters released by Google. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.
medgemma-4b-it ships with 4B parameters. Total weight footprint is approximately 4.3 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face under the other license, which means a manual approval step before weights can be downloaded.
medgemma-4b-it is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Trivial Prompt Reframing Bypasses Safety Guardrails in Google\'s MedGemma-4B
arXiv:2607.09804v1 Announce Type: cross Abstract: Open-weight medical language models are increasingly used as the base of patient-facing and clinician-support applications. Their model cards prohibit specific behaviors -- recommending exact drug dosages, issuing definitive diagnoses, prescribing tr
MedGemma 1.5 Technical Report
arXiv:2604.05081v2 Announce Type: replace Abstract: We introduce MedGemma 1.5 4B, the latest model in the MedGemma collection. MedGemma 1.5 expands on MedGemma 1 by integrating additional capabilities: high-dimensional medical imaging (CT/MRI volumes and histopathology whole slide images), anatomica
MedGemma Technical Report
arXiv:2507.05201v4 Announce Type: replace Abstract: Artificial intelligence (AI) has significant potential in healthcare applications, but its training and deployment faces challenges due to healthcare's diverse data, complex tasks, and the need to preserve privacy. Foundation models that perform we
