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README.md

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----
-license: apache-2.0
----
+---
+license: gemma
+inference: false 
+base_model: google/gemma-3-4b-it
+base_model_relation: quantized 
+tags: [green, llmware-vision, p3, ov, emerald]
+---
+
+# gemma-3-4b-ov
+
+**gemma-3-4b-ov** is an OpenVino int4 quantized version of [gemma-3-4b](https://www.huggingface.co/google/gemma-3-4b-it), 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 Google Gemma 3 series and is a very high-quality innovative small model that accepts multi-modal inputs (image/video, text).
+
+
+### Model Description
+
+- **Developed by:** google
+- **Quantized by:** llmware  
+- **Model type:** gemma-3
+- **Parameters:** 4 billion  
+- **Model Parent:** google/gemma-3-4b-it  
+- **Language(s) (NLP):** English  
+- **License:** Gemma
+- **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.bin": "4ead5eca718061fcc6f5dc3e4db2de14f8b297489ddf8512bf62c5afdc7cf050",
+ "openvino_detokenizer.xml": "ff5b721de70540419d84fa416909b7aed6cd7476abcf6da16ce9edd7ed69529a",
+ "openvino_language_model.bin": "170bc76d9960300fce5affe46b639be6044a75fa1ff96e0d3d63f53bd3a6413f",
+ "openvino_language_model.xml": "4a9469d5c33a27064c9827f53fdb38f99adaa369eb513b4c6a04265d07833285",
+ "openvino_text_embeddings_model.bin": "e553b311e37513a98686050205168a18d7d0cd5345614f970bd05845e914a520",
+ "openvino_text_embeddings_model.xml": "f134e13b5a1ec46ff9aafd1f7c84d45a7fce9efe81dabab57b5d63025f04104a",
+ "openvino_tokenizer.bin": "515b61121829a1b4e23efa535f7f1a64bf26b4d341e15b78bda24db8862fb8c9",
+ "openvino_tokenizer.xml": "f14271d2eb1304c0d4592443ac98803d51e7221f14ee10e96bdd20e8f8a4dda2",
+ "openvino_vision_embeddings_model.bin": "116da4ca12e5c4cf0f89c35bc54f7e95435145941d826bfc029082266dc3d4cc",
+ "openvino_vision_embeddings_model.xml": "e55c0e5f88650327dc432ffa66f603222300bd7d4de9f94dee5761bb89e655ff",
+ "time_stamp": "2026-01-11_110359"
+}