Gemma 4

Google DeepMind

A general-purpose, open-weight multimodal foundation-model family from Google DeepMind. Gemma 4 accepts text and images, with audio on selected sizes, supports reasoning and function calling, and includes E2B and E4B variants designed for local execution on phones and laptops. It is not trained specifically for agrifood.

Models, data & tools
Agrifood data & AI infrastructure
Free · Open source
Self-hosted / on-premise · Edge / local · Downloadable
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QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Models & fine-tunes
AREA OF WORK
Agrifood data & AI infrastructure
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Edge / local · Downloadable
SOURCE REVIEWED
August 26, 2026

What it helps with

  • Build an offline multilingual field assistant
  • Reason over field photos and notes on a local device
  • Add function calling to an edge workflow
  • Fine-tune a small VLM for crop or equipment imagery
  • Process voice image and text in one model
  • Prototype a private on-device agrifood agent

Scope & audience

WHO IT'S FOR

Developer / AI builder · Scientist / researcher · Ag-tech product team

AREA OF WORK

Agrifood data & AI infrastructure

COMMODITY / SCOPE

Cross-commodity

Access & technical details

ACCESS

Anyone can get it

INTERFACE

Model download / weights

DEPLOYMENT

You run it yourself

LANGUAGES

140+ training languages; 35+ out-of-box languages

Source information

This listing was compiled from publicly available source material. Verify current details with the provider.

PROVIDER DOCUMENTATION
Reviewed August 2026

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