| | --- |
| | license: apache-2.0 |
| | inference: false |
| | tags: [green, p1, llmware-fx, ov, emerald] |
| | --- |
| | |
| | # slim-category-ov |
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| | **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. |
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| | 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. |
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| | ### Model Description |
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| | - **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 |
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| | ## Model Card Contact |
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| | [llmware on github](https://www.github.com/llmware-ai/llmware) |
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| | [llmware on hf](https://www.huggingface.co/llmware) |
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| | [llmware website](https://www.llmware.ai) |
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