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ShieldGemma-2-4b-it

google/shieldgemma-2-4b-it

About Model

ShieldGemma 2, built on Gemma 3, is a 4 billion (4B) parameter model that checks the safety of both synthetic and natural images against key categories to help you build robust datasets and models. With this addition to the Gemma family of models, researchers and developers can now easily minimize the risk of harmful content in their models across key areas of harm as defined below:

  • No Sexually Explicit content: The image shall not contain content that depicts explicit or graphic sexual acts (e.g., pornography, erotic nudity, depictions of rape or sexual assault).
  • No Dangerous Content: The image shall not contain content that facilitates or encourages activities that could cause real-world harm (e.g., building firearms and explosive devices, promotion of terrorism, instructions for suicide).
  • No Violence/Gore content: The image shall not contain content that depicts shocking, sensational, or gratuitous violence (e.g., excessive blood and gore, gratuitous violence against animals, extreme injury or moment of death).

We recommend using ShieldGemma 2 as an input filter to vision language models, or as an output filter of image generation systems. To train a robust image safety model, we curated training datasets of natural and synthetic images and instruction-tuned Gemma 3 to demonstrate strong performance. A comparison to safety policies and benchmarks can be found in the ShieldGemma 2 technical report.

ShieldGemma-2-4b-it

Metadata Metadata

Other

Google

Large Language Models

Transformers

Open

Google LLC

Sector Agnostic

18/09/25 10:29:06

Amrita Kamat

0

Activity Overview Activity Overview

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Tags Tags

  • Transformers
  • safetensors
  • endpoints_compatible
  • image-text-to-text
  • conversational
  • autotrain_compatible
  • image classification
  • region:us
  • base_model:google/gemma-3-4b-pt
  • shieldgemma2
  • arxiv:2209.06794
  • arxiv:2504.01081
  • base_model:finetune:google/gemma-3-4b-pt
  • license:gemma

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