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
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.
π How to run LFM2
Example usage with llama.cpp:
llama-cli -hf LiquidAI/LFM2-1.2B-Extract-GGUF