---
license: apache-2.0
inference: false 
tags: [green, p1, llmware-fx, ov]
---

# slim-extract-tiny-ov

<!-- Provide a quick summary of what the model is/does. -->

**slim-extract-tiny-ov** is an OpenVino int4 quantized version of slim-extract-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    

[**slim-extract-tiny**](https://huggingface.co/llmware/slim-extract-tiny) is a specialized extraction function calling model that looks for a key and value in a complex business document and returns a python dictionary with the designated key and the values found in the text for that key.  


Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) 

Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)    


### Model Description

- **Developed by:** llmware  
- **Model type:** tinyllama  
- **Parameters:** 1.1 billion
- **Model Parent:** llmware/slim-extract-tiny
- **Language(s) (NLP):** English  
- **License:** Apache 2.0  
- **Uses:** Extraction of values from complex business documents    
- **RAG Benchmark Accuracy Score:** NA  
- **Quantization:** int4  
  

## Model Card Contact

[llmware on hf](https://www.huggingface.co/llmware)  

[llmware website](https://www.llmware.ai)