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---
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)
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