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index 237eb15..972a0b0 100644
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+++ b/README.md
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-
---
+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/LFM2-350M-Extract
+base_model: LiquidAI/LFM2-350M
---
+
+
+
+

+
+
+
+
+# LFM2-350M-Extract-GGUF
+
+Based on [LFM2-350M](https://huggingface.co/LiquidAI/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](https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices).
+
+## 🏃 How to run LFM2
+
+Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):
+
+```
+llama-cli -hf LiquidAI/LFM2-350M-Extract-GGUF
+```
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