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sdfprotocol/sdf-extract

sourceHugging Facemitupdated 8mo agoView on Hugging Face

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Model Card

SDF Extract

Structured data extractor for the SDF Protocol. Fine-tuned from SmolLM3-3B using QLoRA.

Purpose

Extracts structured semantic data from web content: entities, claims, relationships, summaries, and type-specific fields. Takes the type classification from sdf-classify as input to condition extraction on the content type.

Training

—Base model: HuggingFaceTB/SmolLM3-3B
—Method: QLoRA (rank 32, alpha 64, dropout 0.05)
—Training data: 2,335 extracted web documents
—Accuracy: 90% exact extraction match across all field types

Files

File	Size	Description
`sdf-extract-SmolLM3-3B-Q4_K_M.gguf`	1.8 GB	Quantized (Q4KM) — recommended for deployment
`sdf-extract-SmolLM3-3B-f16.gguf`	5.8 GB	Full precision (f16)
`Modelfile`	—	Ollama import configuration

Usage with Ollama

bash

# Download the Q4_K_M file, then:
ollama create sdf-extract -f Modelfile

Part of SDF Protocol

—Protocol: sdfprotocol.org
—Specification: github.com/sdfprotocol/sdf
—Whitepaper: DOI 10.5281/zenodo.18559223
—Classifier model: pranab2050/sdf-classify

Citation

bibtex

@article{sarkar2026sdf,
  title={Convert Once, Consume Many: SDF for Cacheable, Typed Semantic Extraction from Web Pages},
  author={Sarkar, Pranab},
  year={2026},
  doi={10.5281/zenodo.18559223},
  publisher={Zenodo}
}