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README.md
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This is the [OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B) model, converted to OpenVINO
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with INT4 compressed weights for the language model, INT8 weights for the other models.
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Use OpenVINO GenAI to run inference on this model:
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- `pip install openvino-genai pillow`
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- Download a test image: `curl -O "https://storage.openvinotoolkit.org/test_data/images/dog.jpg"`
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- Run inference:
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# Choose GPU instead of CPU in the line below to run the model on Intel integrated or discrete GPU
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pipe = openvino_genai.VLMPipeline("./InternVL2-2B-ov", "CPU")
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pipe.start_chat()
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image = Image.open("dog.jpg")
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image_data = np.array(image.getdata()).reshape(1, image.size[1], image.size[0], 3).astype(np.uint8)
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This is the [OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B) model, converted to OpenVINO
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with INT4 compressed weights for the language model, INT8 weights for the other models.
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Use OpenVINO GenAI 2025.1 or later and Pillow to run inference on this model:
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- `pip install --upgrade openvino-genai pillow`
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- Download a test image: `curl -O "https://storage.openvinotoolkit.org/test_data/images/dog.jpg"`
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- Run inference:
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# Choose GPU instead of CPU in the line below to run the model on Intel integrated or discrete GPU
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pipe = openvino_genai.VLMPipeline("./InternVL2-2B-ov", "CPU")
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image = Image.open("dog.jpg")
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image_data = np.array(image.getdata()).reshape(1, image.size[1], image.size[0], 3).astype(np.uint8)
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