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LFM2-350M-Extract-GGUF

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by LiquidAI text-generation transformers other
3.1K downloads 39 likes on Hugging Face updated

Model card

Liquid AI
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LFM2-350M-Extract-GGUF

Based on LFM2-350M, LFM2-350M-Extract is designed to extract important information from a wide variety of unstructured documents (such as articles, transcripts, or reports) into structured outputs like JSON, XML, or YAML.

Use cases:

  • Extracting invoice details from emails into structured JSON.
  • Converting regulatory filings into XML for compliance systems.
  • Transforming customer support tickets into YAML for analytics pipelines.
  • Populating knowledge graphs with entities and attributes from unstructured reports.

You can find more information about other task-specific models in this blog post.

🏃 How to run LFM2

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2-350M-Extract-GGUF