schematron-v2-small

Schematron-v2-small is a specialized 3B-parameter model engineered specifically for high-fidelity HTML-to-JSON structural extraction. Unlike general-purpose LLMs that often struggle with nested DOM structures or lose context in long documents, this model is optimized for strict schema adherence. It utilizes a JSON schema as the primary instruction mechanism, ensuring that the output is not just textually accurate but programmatically valid for downstream pipelines. With a massive 128k context window, it can ingest entire complex web pages without truncation, making it ideal for web scraping, automated data ingestion, and transforming unstructured web content into structured databases. For developers, this means significantly lower post-processing overhead and higher reliability when dealing with volatile HTML layouts compared to larger, more expensive frontier models.