ai/gemma3n

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By Docker

Updated 8 months ago

Efficient multimodal AI for text, image, audio, and video on low-resource devices.

Model
10

50K+

ai/gemma3n repository overview

Gemma 3n

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Gemma 3n is a compact, multimodal AI model from Google DeepMind, designed for efficiency on low-resource devices. It supports text, image, audio, and video input, with open weights and support for over 140 languages. With optimized parameter usage and strong safety features, it builds on the Gemma family to extend lightweight, high-performance foundation models.

Intended uses

Gemma 3n models are designed for:

  • Text generation: Compose poems, code, scripts, summaries, and more.
  • Conversational AI: Power virtual agents and customer service assistants.
  • Text summarization: Generate concise overviews of articles, papers, or transcripts.
  • Language learning: Provide grammar suggestions and writing feedback.
  • Educational research: Assist with data analysis, question answering, and exploration of multilingual resources.

Characteristics

AttributeDetails
ProviderGoogle DeepMind
ArchitectureGemma 3n
Cutoff dateJune 2024
Languages140+
Tool calling
Input modalitiesText
Output modalitiesText
LicenseGemma Terms

Available model variants

Model variantParametersQuantizationContext windowVRAM¹Size
ai/gemma3n:4B-F166.9BMOSTLY_F1633K tokens9.32 GiB12.79 GB

¹: VRAM estimated based on model characteristics.

Use this AI model with Docker Model Runner

To run the model:

docker model pull ai/gemma3n

Then launch it:

docker model run ai/gemma3n

More details in the Docker Model Runner documentation.

Benchmark performance

CategoryBenchmark2B Value4B Value
GeneralMMLU60.164.9
DROP53.960.8
BIG-Bench Hard44.352.9
ARC-Challenge (25-shot)51.761.6
MultilingualGlobal-MMLU55.160.3
MGSM53.160.7
STEM & CodeHumanEval66.575.0
MBPP56.663.6
GPQA (Diamond)24.823.7

Tag summary

Content type

Model

Digest

sha256:f45ebd23a

Size

8.3 GB

Last updated

8 months ago

docker model pull ai/gemma3n:2B-F16

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