FunctionGemma

Google DeepMind

A 270M-parameter Gemma model specialized for function calling. It is designed to be fine-tuned for a defined task so a small local agent can turn natural-language requests into structured API actions. It is not agrifood-specific and task-specific fine-tuning and testing are expected.

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

What it helps with

  • Map natural-language requests to structured calls in a tested application
  • Turn spoken field commands into reviewed API calls
  • Build an offline form and logging assistant
  • Route common commands on device
  • Fine-tune tool calling for farm operations
  • Keep low-latency actions at the edge

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

Free but sign up first

INTERFACE

Model download / weights

DEPLOYMENT

You run it yourself

LANGUAGES

Not stated by provider

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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