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SmolVLM2-500M-Video-Instruct-openvino-8bit-woq
echarlaix/SmolVLM2-500M-Video-Instruct-openvino-8bit-woq
SmolVLM2-500M-Video-Instruct-openvino-8bit-woq is a image-text-to-text model from echarlaix. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a quantized version of HuggingFaceTB/SmolVLM2-500M-Video-Instruct and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- smolvlm
- Access
- Public
- Created
- Jul 14, 2025
- Updated
- Jul 14, 2025
- SHA
- 3cd54735
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Model card
From the Hugging Face model README
This model is a quantized version of HuggingFaceTB/SmolVLM2-500M-Video-Instruct and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVModelForVisualCausalLM
model_id = "echarlaix/SmolVLM2-500M-Video-Instruct-openvino-8bit-woq-data-free"
model = OVModelForVisualCausalLM.from_pretrained(model_id)
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- smolvlm
- License
- apache-2.0
- Languages
- en
- Created
- Jul 14, 2025
- Updated
- Jul 14, 2025