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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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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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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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See [OpenVINO GenAI repository](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#performing-visual-language-text-generation)
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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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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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