library_name, license, license_name, license_link, language, pipeline_tag, tags, base_model

library_name	license	license_name	license_link	language	pipeline_tag	tags	base_model
transformers	other	lfm1.0	LICENSE	en ar zh fr de ja ko es	text-generation	liquid lfm2 edge	LiquidAI/LFM2-350M-Extract

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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