README.md

---
license: apache-2.0
inference: false 
base_model: microsoft/Phi-4-multimodal-instruct
base_model_relation: quantized 
tags: [green, llmware-vision, p6, ov, emerald]
---

# phi-4-mm-ov

**phi-4-mm-ov** is an OpenVino int4 quantized version of [phi-4-mm](https://www.huggingface.co/microsoft/Phi-4-multimodal-instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    

This is a vision-to-text model from the Microsoft phi 4 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:** llmware  
- **Model type:** phi-4
- **Parameters:** 6 billion  
- **Model Parent:** microsoft/Phi-4-multimodal-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)