---
license: apache-2.0
inference: false 
tags: [green, llmware-rag, p3,onnx]
---

# bling-phi-3-onnx

<!-- Provide a quick summary of what the model is/does. -->

**bling-phi-3-ov** is an ONNX int4 quantized version of BLING Phi-3, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    

[**bling-phi-3**](https://huggingface.co/llmware/bling-phi-3) is a fact-based question-answering model, optimized for complex business documents.  

Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) 

Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)    


### Model Description

- **Developed by:** llmware  
- **Model type:** phi3  
- **Parameters:** 3.8 billion
- **Model Parent:** llmware/bling-phi-3  
- **Language(s) (NLP):** English  
- **License:** Apache 2.0  
- **Uses:** Fact-based question-answering  
- **RAG Benchmark Accuracy Score:** 99.5  
- **Quantization:** int4  
  

## Model Card Contact

[llmware on hf](https://www.huggingface.co/llmware)  

[llmware website](https://www.llmware.ai)