InternVL2-1B-ov

This is the OpenGVLab/InternVL2-1B model, converted to OpenVINO with INT4 compressed weights for the language model, INT8 weights for the other models.

Use OpenVINO GenAI 2025.1 or later to run inference on this model:

• pip install --upgrade openvino-genai pillow
• Download a test image, for example: curl -O "https://storage.openvinotoolkit.org/test_data/images/dog.jpg"
• Run inference:

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")

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