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--- |
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base_model: |
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- Qwen/Qwen2.5-VL-7B-Instruct |
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--- |
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This is the [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) model, converted to OpenVINO, with int4 weights for the language model, int8 weights for the other models. |
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## Download Model |
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To download the model, run `pip install huggingface-hub[cli]` and then: |
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``` |
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huggingface-cli download helenai/Qwen2.5-VL-7B-Instruct-ov-int4 --local-dir Qwen2.5-VL-7B-Instruct-ov-int4 |
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``` |
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## Run inference with OpenVINO GenAI |
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Use OpenVINO GenAI to run inference on this model. This model works with OpenVINO GenAI 2025.2 and later. |
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- Install OpenVINO GenAI and pillow: |
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``` |
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pip install --upgrade openvino-genai pillow |
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``` |
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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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```python |
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import numpy as np |
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import openvino as ov |
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import openvino_genai |
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from PIL import Image |
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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("Qwen2.5-VL-7B-Instruct-ov-int4", "CPU") |
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image = Image.open("dog.jpg") |
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# optional: resizing to a smaller size (depending on image and prompt) is often useful to speed up inference. |
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image = image.resize((128, 128)) |
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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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image_data = ov.Tensor(image_data) |
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prompt = "Can you describe the image?" |
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result = pipe.generate(prompt, image=image_data, max_new_tokens=100) |
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print(result.texts[0]) |
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``` |
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See [OpenVINO GenAI repository](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#performing-visual-language-text-generation) |
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## Model export properties |
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Model export command: |
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``` |
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optimum-cli export openvino -m Qwen/Qwen2.5-VL-7B-Instruct --weight-format int4 Qwen2.5-VL-7B-Instruct-ov-int4 |
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``` |
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### Framework versions |
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``` |
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openvino : 2025.2.0-19140-c01cd93e24d-releases/2025/2 |
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nncf : 2.17.0.dev0+c6296072 |
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optimum_intel : 1.26.0.dev0+0e2ccef |
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optimum : 1.27.0 |
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pytorch : 2.7.0+cpu |
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transformers : 4.51.3 |
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``` |
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### LLM export properties |
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``` |
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all_layers : False |
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awq : False |
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backup_mode : int8_asym |
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compression_format : dequantize |
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gptq : False |
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group_size : 128 |
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ignored_scope : [] |
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lora_correction : False |
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mode : int4_asym |
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ratio : 1.0 |
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scale_estimation : False |
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sensitivity_metric : weight_quantization_error |
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``` |
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