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.
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
Developer / AI builder · Scientist / researcher · Ag-tech product team
Agrifood data & AI infrastructure
Cross-commodity
Access & technical details
Free but sign up first
Model download / weights
You run it yourself
Not stated by provider
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Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
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