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README.md

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+---
+language: en
+license: mit
+tags:
+  - sdf
+  - extraction
+  - smollm3
+  - gguf
+  - structured-data
+  - web-content
+base_model: HuggingFaceTB/SmolLM3-3B
+pipeline_tag: text-generation
+---
+
+# SDF Extract
+
+Structured data extractor for the [SDF Protocol](https://sdfprotocol.org). 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](https://huggingface.co/pranab2050/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 (Q4_K_M) — 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](https://sdfprotocol.org)
+- **Specification**: [github.com/sdfprotocol/sdf](https://github.com/sdfprotocol/sdf)
+- **Whitepaper**: [DOI 10.5281/zenodo.18559223](https://doi.org/10.5281/zenodo.18559223)
+- **Classifier model**: [pranab2050/sdf-classify](https://huggingface.co/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}
+}
+```