Model release

MedGemma 27B (multimodal)

MedGemma 27B (multimodal) is an open-weight model release in the MedGemma family from Google (Health AI Developer Foundations)1, version 1.0.0 (27B multimodal, instruction-tuned), released Jul 9, 2025. Its weights can be downloaded by the public3 2 under the Health AI Developer Foundations Terms of Use3 1 4.

MedGemma 27B multimodal is the 27B multimodal variant of MedGemma 1, released by Google on July 9, 2025. It accepts text and images and produces text, and unlike the 27B text-only variant it was also trained on medical images and FHIR-based electronic health record data. It is published only as an instruction-tuned model.1 8

On AI on Hugging Face: google/medgemma-27b-it

Last reviewedSep 29, 2026Entry updated Sep 29, 2026Documented release Jul 9, 2025

Availability and license

Overall availability

Public

Downloadable from Hugging Face after logging in and acknowledging the Health AI Developer Foundations terms of use; the gate states that requests are processed immediately. Also offered through Google Cloud Model Garden.3 2 1

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

Health AI Developer Foundations Terms of Use (external site: developers.google.com)3 1 4
Applies to: Weights · custom license (no SPDX identifier) · fact-level rights review not recorded
Apache License 2.0 (google-health/medgemma notebooks and serving code) (external site: raw.githubusercontent.com)5 6
Applies to: Code · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0

The HAI-DEF terms (licensor Google LLC) permit use, modification, and distribution subject to use restrictions, including the HAI-DEF Prohibited Use Policy and a bar on uses that could lead a health regulator to deem Google a medical device manufacturer. Redistributors must pass on the terms and use restrictions and include a specified notice file. The terms require indemnification of Google and are governed by California law.4

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.

weights: Unknown — no complete fact-level rights review
code: Unknown — no complete fact-level rights review
data: Unknown — no complete fact-level rights review
documentation: Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Model-disclosure tier

Computed from the checklist below using USASI rubric v0.2. An editorial category, not a certification.

Open-weight

The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.

The weights are under a license that is not on the rubric's OSI-approved list. Read its terms before use.

How tiers are computed

Public materials checklist

Items for a model under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.

Public materials checklist for MedGemma 27B (multimodal)
Item	Status	Notes and evidence
WeightsCan the general public download the model parameters for this release?	Public	Weights are on Hugging Face behind a click-through acknowledgment of the HAI-DEF terms that is processed automatically.3 2
Inference codeIs code for running the model published?	Public	The card documents inference with Hugging Face Transformers (4.50.0 or later), and the Hugging Face page also shows vLLM and SGLang serving; notebooks and serving code are in the Apache-2.0 google-health/medgemma repository.1 2 5
Training codeIs the code used to train the model published?	Unknown	The card states training was done with JAX; fine-tuning notebooks are published, but the code used to train the model was not found.1 5
Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness.	Unknown	Not assessed.
Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable.	Unknown	Not assessed.
Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient.	Unknown	Not assessed.
Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above.	Partial	The card lists public datasets (for example MIMIC-CXR and SLAKE) and describes licensed or internally collected de-identified datasets that are not public.1
Training recipeAre the training configuration and procedure documented in enough detail to follow?	Partial	The MedGemma Technical Report describes the models and their training at a summary level.7
Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only.	Partial	The card publishes results on public and internal benchmarks; for 27B results it notes test-time scaling was used. Several evaluation datasets are internal.1

What it is useful for

The card suggests the 27B multimodal model for developers who want a single model for medical text, medical record, and medical image tasks, and states that it requires validation and adaptation before use and is not intended to directly inform clinical decisions.1 2

Run and use notes

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.

The card documents inputs of up to 128K tokens with images normalized to 896 x 896 and encoded to 256 tokens each, and outputs of up to 8,192 tokens.1

Organization context

Google (Alphabet)

Provenance and derivatives

Built by Google on Gemma 3 27B; Hugging Face metadata lists google/gemma-3-27b-pt as the base model. The multimodal variant uses a SigLIP image encoder pre-trained on de-identified medical data.3 1

Derived from: Gemma 3 27B (pre-trained), google/gemma-3-27b-pt — Base model; see the Gemma family record.

Other releases in the MedGemma family

MedGemma 1.5 4BModel-disclosure tier (USASI rubric v0.2): Open-weight

MedGemma family overview

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.

Training code: unknown.
Training-data information: unknown.
Training-data access: unknown.
Complete training pipeline: unknown.

Have a primary source? How to report a correction.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: Documented U.S. control

The model card lists Google as author, and the governing terms are issued by Google LLC. Alphabet Inc.'s fiscal 2025 Form 10-K lists its principal executive offices in Mountain View, California, and Exhibit 21.01 lists Google LLC as a Delaware subsidiary of Alphabet.1 4 9 10

Assessed Sep 29, 2026

Sources

1.
MedGemma 1 model card (external site: developers.google.com)
Google for Developers (Health AI Developer Foundations) · Model card · accessed Sep 29, 2026
2.
google/medgemma-27b-it (Hugging Face) (external site: huggingface.co)
Google (Hugging Face) · Model card · accessed Sep 29, 2026
3.
Hugging Face model metadata for google/medgemma-27b-it (external site: huggingface.co)
Hugging Face · Model card · accessed Sep 29, 2026
4.
Health AI Developer Foundations Terms of Use (external site: developers.google.com)
Google LLC · License · accessed Sep 29, 2026
5.
google-health/medgemma README (external site: raw.githubusercontent.com)
Google Health · Repository · accessed Sep 29, 2026
6.
google-health/medgemma LICENSE (Apache License 2.0) (external site: raw.githubusercontent.com)
Google Health · License · accessed Sep 29, 2026
7.
MedGemma Technical Report (arXiv 2507.05201) (external site: arxiv.org)
arXiv · Paper · published Jul 7, 2025 · accessed Sep 29, 2026
8.
Gemma releases (external site: ai.google.dev)
Google AI for Developers · Release notes · accessed Sep 29, 2026
9.
Alphabet Inc. Form 10-K for the fiscal year ended December 31, 2025 (external site: sec.gov)
Alphabet Inc. (via U.S. Securities and Exchange Commission EDGAR) · Filing · accessed Sep 29, 2026
10.
Alphabet Inc. Form 10-K fiscal 2025, Exhibit 21.01 (subsidiaries) (external site: sec.gov)
Alphabet Inc. (via U.S. Securities and Exchange Commission EDGAR) · Filing · accessed Sep 29, 2026

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This listing is not an endorsement, a safety assessment, or a federal approval.

Cite this page

APA style

USASI. (2026, September 29). MedGemma 27B (multimodal). United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/medgemma-27b-it/

BibTeX

@misc{usasi_medgemma_27b_it,
  author = {{USASI}},
  title = {MedGemma 27B (multimodal)},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/medgemma-27b-it/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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