schematron-v2-turbo

Schematron-v2-turbo is a specialized 3B-parameter model engineered specifically for high-throughput HTML-to-JSON extraction. Unlike general-purpose LLMs that struggle with structural consistency, this model is optimized for deterministic data parsing. It operates via a schema-first approach, requiring developers to provide a JSON schema within the response_format parameter to govern the output. This design significantly reduces parsing errors and eliminates the need for post-extraction cleanup. With a massive 128k context window, it can ingest entire web pages or complex document fragments in a single pass. For developers building web scrapers, automated data pipelines, or competitive intelligence tools, this model offers a much higher tokens-per-second ratio than larger frontier models while maintaining the structural integrity required for production-grade ETL workflows.