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---
license: apache-2.0
inference: false
tags: [green, p1, llmware-fx, ov, emerald]
---
# slim-category-ov
**slim-category-ov** is a specialized function calling model with a single mission to look for values in a text, based on an "extract" key that is passed as a parameter. No other instructions are required except to pass the context passage, and the target key, and the model will generate a python dictionary consisting of 'category' key and the classification of information category in the text.
This is an OpenVino int4 quantized version of slim-category-ov, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
### Model Description
- **Developed by:** llmware
- **Model type:** tinyllama
- **Parameters:** 1.1 billion
- **Model Parent:** llmware/slim-category
- **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 github](https://www.github.com/llmware-ai/llmware)
[llmware on hf](https://www.huggingface.co/llmware)
[llmware website](https://www.llmware.ai)
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