Library of task-specific models: https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices • 30 items • Updated • 116
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.
🏃 How to run LFM2
Example usage with llama.cpp:
llama-cli -hf LiquidAI/LFM2-1.2B-Extract-GGUF
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GGUF
Model size
1B params
Architecture
lfm2
Hardware compatibility
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