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---
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
**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.
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.
### 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
## 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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