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Feyn Introduces Pulpie: Pareto-Optimal Models for Efficient HTML Content Extraction

By

Feyn

4h ago· 9 min readenNews

Summary

Feyn introduces Pulpie, a family of Pareto-optimal models for extracting main content from HTML pages. The smallest model, pulpie-orange-small (210M parameters), achieves 0.862 ROUGE-5 F1 on WebMainBench, nearly matching the leading extractor Dripper (0.864, 600M parameters) at one twentieth the cost. Pulpie uses an encoder architecture that labels every HTML block as content or boilerplate in a single forward pass, making it both efficient and fast. The models are designed for web content extraction and cleaning.

Source

Hacker NewsFeyn Introduces Pulpie: Pareto-Optimal Models for Efficient HTML Content Extractionusefeyn.com

Key quotes

· 3 pulled
Pulpie approaches SOTA extraction quality at one twentieth the cost.
Our smallest model, pulpie-orange-small, scores 0.862 ROUGE-5 F1 on WebMainBench. This matches Dripper, the leading extractor, which scores 0.864.
Pulpie is an encoder that labels every HTML block as content or boilerplate in a single forward pass. This also makes it fast.
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Introducing Pulpie, a family of Pareto-optimal models for extracting main content from HTML pages.

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