README.md

---
license: apache-2.0
inference: false 
base_model: microsoft/Phi-3-vision-128k-instruct
base_model_relation: quantized 
tags: [green, llmware-vision, p3, onnx, emerald]
---

# phi-3-vision-onnx

**phi-3-vision-onnx** is an ONNX int4 quantized version of [microsoft/Phi-3-vision-128k-instruct](https://www.huggingface.co/Qwen/microsoft/Phi-3-vision-128k-instruct), providing an inference implementation, optimized for AI PCs.    

This is a vision-to-text model from the Phi3 release series and is a very high-quality innovative small model that accepts multi-modal inputs (image/video, text).


### Model Description

- **Developed by:** microsoft
- **Quantized by:** microsoft
- **Model type:** phi-3-vision
- **Parameters:** 3.8 billion  
- **Model Parent:**   microsoft/Phi-3-vision-128k-instruct
- **Language(s) (NLP):** English  
- **License:** Apache 2.0  
- **Uses:** Multimodal LLM    
- **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)