metadata
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. 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
# Download the Q4_K_M file, then:
ollama create sdf-classify -f Modelfile
Part of SDF Protocol
- Protocol: sdfprotocol.org
- Specification: github.com/sdfprotocol/sdf
- Whitepaper: DOI 10.5281/zenodo.18559223
- Extractor model: pranab2050/sdf-extract
Citation
@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}
}