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README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+inference: false 
+base_model: Microsoft/Phi-3.5-vision-instruct
+base_model_relation: quantized 
+tags: [green, llmware-vision, p3, ov, emerald]
+---
+
+# phi-3.5-vision-ov
+
+**phi-3.5-vision-ov** is an OpenVino int4 quantized version of [phi-3.5-vision-ov](https://www.huggingface.co/Microsoft/Phi-3.5-vision-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-3.5 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-3.5
+- **Parameters:** 3 billion  
+- **Model Parent:** Microsoft/Phi-3.5-vision-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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+ "openvino_detokenizer.xml": "d44022509945a0096c2ac89fff6f1a8afe9be0758bc489bbc554069b5a66ee0c",
+ "openvino_language_model.bin": "c2255794038d33306bc1540e13904082dd77facd9e33999c102abed034f9c5a4",
+ "openvino_language_model.xml": "f83bfa41d9cc29236524a5edb6166ff3601b116b62dc07e48ccdee4cd6d82764",
+ "openvino_text_embeddings_model.bin": "3b8295cb8c1b0a2ab714d0d309b47015967e11c2b5205e038abff0d6f229b3bc",
+ "openvino_text_embeddings_model.xml": "79f18e4c10d125ee32e7756a6ebd2bf0b3700da946a20f5de469d9c8243f99ec",
+ "openvino_tokenizer.bin": "b5bdc79863cc6e1920cb50f01fc3122748d50205c058805abbeb747e3827a561",
+ "openvino_tokenizer.xml": "4691da8f7894d48d4cbddd736f782c7ac5b316bac8908f5e938d8b956dc8335f",
+ "openvino_vision_embeddings_model.bin": "eb63340ca7e80ba5789d291b7c1d01888e1a773dd4c77fc9d1507df7ef0ff3d9",
+ "openvino_vision_embeddings_model.xml": "c9599770f4edd7e0f076e96608bbaf5552b6320fe7385a0023dd17970ba89f82",
+ "openvino_vision_projection_model.bin": "70e6b5f4c4ce54dde0bdd193e7346ef5641c12fcf8370167f14f26ad85f8f60d",
+ "openvino_vision_projection_model.xml": "33bc0d215ebb810fba2e66b4ef1711ec3c699cbd953384f21d551e47d2caf3ed",
+ "time_stamp": "2026-01-11_110314"
+}