| --- |
| license: apache-2.0 |
| inference: false |
| base_model: llmware/slim-boolean-phi-3 |
| base_model_relation: quantized |
| tags: [green, p3, llmware-fx, onnx] |
| --- |
| |
| # slim-boolean-phi-3-onnx |
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| **slim-boolean-phi-3-onnx** is a specialized function calling model optimized for boolean (yes/no) questions. The model expects as input a text passage context, and a boolean question, and generates a python dictionary consisting of two keys - an "answer" key with the 'yes or no' classification, and an "explain" key that provides a short explanation. |
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| This is an ONNX int4 quantized version of slim-boolean-phi-3, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
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|
| ### Model Description |
|
|
| - **Developed by:** llmware |
| - **Model type:** phi-3 |
| - **Parameters:** 3.8 billion |
| - **Model Parent:** llmware/slim-boolean-phi-3 |
| - **Language(s) (NLP):** English |
| - **License:** Apache 2.0 |
| - **Uses:** Boolean question answering |
| - **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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