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.