Gemma 3n
Google DeepMind
A general-purpose multimodal Gemma variant built for everyday devices. It processes text, images and audio and uses parameter-efficient techniques intended to reduce local memory and compute requirements. It is a foundation component, not an agrifood-tuned model.
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
- Run a field assistant on a phone or tablet
- Analyze a crop photo and spoken note together
- Translate or transcribe field audio locally
- Build an offline multimodal extension tool
- Fine-tune a small model for equipment or plant imagery
- Keep sensitive farm inputs on a local device
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
Trained in more than 140 languages
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
Explore more like this
PLLaMa (7B / 13B, base + instruct)
Xianjun Yang et al., USA (UC Santa Barbara) with SLU Sweden co-author (Erik Alexandersson)
Models, data & tools
Plant science answers are scattered across a century of journals that no one person can read. These are downloadable language models further trained on more than a million plant science papers, with versions set up to follow instructions.
Free
Self-hosted / on-premise · Downloadable
Models & fine-tunes
PLLaMa (7B / 13B, base + instruct)
research-develop
research-and-scientific-knowledge
buildable-or-downloadable-component
models-and-fine-tunes
Free
Self-hosted / on-premise · Downloadable
August 23, 2026
- Language model trained on plant science papers
- Ask plant science questions
- Model that has read plant journals
- Instruction following model for plant research
- Download a plant science language model
Granite 4.2
IBM
Models, data & tools
IBM's open dense reasoning language-model family in 3B, 8B and 30B sizes with tool calling and switchable thinking modes. IBM identifies the 3B model for edge and resource-constrained deployment. The family is general-purpose rather than agrifood-specific.
Free · Open source
Self-hosted / on-premise · Edge / local · Downloadable
Models & fine-tunes
Granite 4.2
build-integrate-ai
agrifood-data-and-ai-infrastructure
buildable-or-downloadable-component
models-and-fine-tunes
Free · Open source
Self-hosted / on-premise · Edge / local · Downloadable
August 26, 2026
- Run a reasoning assistant on constrained farm hardware
- Build an edge tool-calling agent
- Add local question answering over operational documents
- Choose low-effort reasoning for lower latency
- Fine-tune a compact enterprise model for agrifood
- Keep selected workflows self-hosted
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.