DigiGreen/fact-relevance-score-llama-3-2-1b-lora
Digital Green
Once a system pulls out facts, you still need to know which ones actually matter for the question asked. These are downloadable adapter weights for a small language model that rates how relevant a fact is.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Models & fine-tunes
AREA OF WORK
Food safety, quality & nutrition
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Which facts actually answer the question
- Rank extracted facts by relevance
- Filter out facts that do not matter
- Score relevance in a retrieval pipeline
- Keep only the useful facts
- Check whether a fact fits the question
Scope & audience
WHO IT'S FOR
Developer / AI builder
AREA OF WORK
Food safety, quality & nutrition
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
Featured media
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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