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README.md

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+---
+language: en
+license: mit
+tags:
+  - sdf
+  - classification
+  - qwen2.5
+  - gguf
+  - content-type
+  - web-content
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+pipeline_tag: text-generation
+---
+
+# SDF Classify
+
+Content type classifier for the [SDF Protocol](https://sdfprotocol.org). Fine-tuned from Qwen2.5-1.5B-Instruct using QLoRA.
+
+## Purpose
+
+Classifies web content into SDF's hierarchical type system: 10 parent types and 50+ subtypes (e.g., `article.news`, `commerce.product`, `documentation.api_docs`).
+
+## Training
+
+- **Base model**: Qwen2.5-1.5B-Instruct
+- **Method**: QLoRA (rank 32, alpha 64, dropout 0.05)
+- **Training data**: 2,335 classified web documents
+- **Accuracy**: 95.2% exact type match
+
+## Files
+
+| File | Size | Description |
+|------|------|-------------|
+| `sdf-classify-Qwen2.5-1.5B-Instruct-Q4_K_M.gguf` | 941 MB | Quantized (Q4_K_M) — recommended for deployment |
+| `sdf-classify-Qwen2.5-1.5B-Instruct-f16.gguf` | 2.9 GB | Full precision (f16) |
+| `Modelfile` | — | Ollama import configuration |
+
+## Usage with Ollama
+
+```bash
+# Download the Q4_K_M file, then:
+ollama create sdf-classify -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)
+- **Extractor model**: [pranab2050/sdf-extract](https://huggingface.co/pranab2050/sdf-extract)
+
+## 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}
+}
+```