Create README.md

README.md

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+---
+base_model:
+- OpenGVLab/InternVL2-1B
+---
+
+This is the [OpenGVLab/InternVL2-1B](https://huggingface.co/OpenGVLab/InternVL2-1B) model, converted to OpenVINO 
+with INT4 compressed weights for the language model, INT8 weights for the other models.
+
+Use OpenVINO GenAI to run inference on this model:
+
+- `pip install openvino-genai pillow`
+- Download a test image, for example: `curl -O "https://storage.openvinotoolkit.org/test_data/images/dog.jpg"`
+- Run inference:
+
+```python
+import numpy as np
+import openvino as ov
+import openvino_genai
+from PIL import Image
+
+# Choose GPU instead of CPU in the line below to run the model on Intel integrated or discrete GPU
+pipe = openvino_genai.VLMPipeline("./InternVL2-1B-ov", "CPU")
+pipe.start_chat()
+
+image = Image.open("dog.jpg")
+image_data = np.array(image.getdata()).reshape(1, image.size[1], image.size[0], 3).astype(np.uint8)
+image_data = ov.Tensor(image_data)  
+
+prompt = "Can you describe the image?"
+result = pipe.generate(prompt, image=image_data, max_new_tokens=100)
+print(result.texts[0])
+```
+
+See [OpenVINO GenAI repository](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#performing-visual-language-text-generation)