QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Models & fine-tunes
AREA OF WORK
Food products & foodservice
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026

What it helps with

  • Run a food assistant on my own machine
  • Answer food questions without a hosted model
  • Local model for food topics
  • Build a food app offline
  • Generate food related text locally
  • Avoid sending food queries to a service

Scope & audience

WHO IT'S FOR

Developer / AI builder

AREA OF WORK

Food products & foodservice

COMMODITY / SCOPE

Cross-commodity

Access & technical details

ACCESS

Anyone can get it

INTERFACE

Model download / weights · Code repository

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

Explore more like this

smart_livestock_qwen

Denis-Shema
Models, data & tools
Livestock advice is needed in sheds and yards where an internet connection cannot be relied on. These are downloadable adapter weights and a packaged file for running a livestock focused language model on your own machine.
Free
Self-hosted / on-premise · Downloadable
Models & fine-tunes
View listing
smart_livestock_qwen
plan-manage-production
livestock-and-aquaculture
buildable-or-downloadable-component
models-and-fine-tunes
Free
Self-hosted / on-premise · Downloadable
August 17, 2026
  • Livestock advice with no internet in the shed
  • Run a livestock model on my own machine
  • Answer animal questions offline
  • Livestock adapter weights to download
  • Build an offline barn assistant
  • Get animal advice out in the yard

EmbeddingGemma

Google DeepMind
Models, data & tools
A 308M-parameter multilingual text embedding model for retrieval, similarity search, clustering and classification on everyday devices. Google documents quantized operation below 200MB of RAM and offline generation of embeddings. It is a general retrieval component rather than an agrifood-specific model.
Free
Self-hosted / on-premise · Edge / local · Downloadable
Models & fine-tunes
View listing
EmbeddingGemma
build-integrate-ai
agrifood-data-and-ai-infrastructure
buildable-or-downloadable-component
models-and-fine-tunes
Free
Self-hosted / on-premise · Edge / local · Downloadable
August 26, 2026
  • Build offline search across farm notes
  • Add local RAG over agronomy documents
  • Cluster multilingual field records
  • Find similar advisory text without a cloud call
  • Create compact embeddings on an edge device
  • Keep sensitive operational documents local
Is this your Resource?

Contact us to claim this listing and add details, screenshots or a demo.