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README.md

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----
-license: apache-2.0
----
+---
+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)  

hash_record_sha256.json

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+ "time_stamp": "2026-01-11_110334"
+}