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---
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)
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