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metadata
library_name: transformers
license: other
license_name: lfm1.0
license_link: LICENSE
language:
  - en
  - ar
  - zh
  - fr
  - de
  - ja
  - ko
  - es
pipeline_tag: text-generation
tags:
  - liquid
  - lfm2
  - edge
base_model: LiquidAI/LFM2-1.2B-Extract
Liquid AI
Try LFM β€’ Documentation β€’ LEAP

LFM2-1.2B-Extract-GGUF

Based on LFM2-1.2B, LFM2-1.2B-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.

πŸƒ How to run LFM2

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2-1.2B-Extract-GGUF