OpenGVLab's InternVL3_5-2B-MPO [Mixed Preference Optimization (MPO)] is a compact vision-language model in the InternVL3.5 series. You can now experience it in the Tiny VLMs Lab, an app featuring 15+ multimodal VLMs ranging from 250M to 4B parameters. These models support tasks such as OCR, reasoning, single-shot answering with small models, and captioning (including ablated variants), across a broad range of visual categories. They are also capable of handling images with complex, sensitive, or nuanced content, while adapting to varying aspect ratios and resolutions.
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OpenGVLab's InternVL3_5-2B-MPO [Mixed Preference Optimization (MPO)] is a compact vision-language model in the InternVL3.5 series. You can now experience it in the Tiny VLMs Lab, an app featuring 15+ multimodal VLMs ranging from 250M to 4B parameters. These models support tasks such as OCR, reasoning, single-shot answering with small models, and captioning (including ablated variants), across a broad range of visual categories. They are also capable of handling images with complex, sensitive, or nuanced content, while adapting to varying aspect ratios and resolutions.
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✨ Space/App : 
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✨ Space/App : 
https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
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🫙 Model : 
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🫙 Model : 
https://huggingface.co/OpenGVLab/InternVL3_5-2B-MPO
OpenGVLab/InternVL3_5-2B-MPO
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resource
https://huggingface.co/OpenGVLab/InternVL3_5-2B-MPO
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↗️ Collection: 
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↗️ Collection: 
https://huggingface.co/collections/OpenGVLab/internvl35-68ac87bd52ebe953485927fb
OpenGVLab/internvl35-68ac87bd52ebe953485927fb
collection
resource
https://huggingface.co/collections/OpenGVLab/internvl35-68ac87bd52ebe953485927fb
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🗞️ Paper : 
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🗞️ Paper : 
https://arxiv.org/pdf/2508.18265
https://arxiv.org/pdf/2508.18265
link
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↗️ Multimodal Space Collection : 
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↗️ Multimodal Space Collection : 
https://huggingface.co/collections/prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
collection
resource
https://huggingface.co/collections/prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
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To learn more, visit the relevant spaces, collections, and model cards.
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To learn more, visit the relevant spaces, collections, and model cards.
OpenGVLab's InternVL3_5-2B-MPO [Mixed Preference Optimization (MPO)] is a compact vision-language model in the InternVL3.5 series. You can now experience it in the Tiny VLMs Lab, an app featuring 15+ multimodal VLMs ranging from 250M to 4B parameters. These models support tasks such as OCR, reasoning, single-shot answering with small models, and captioning (including ablated variants), across a broad range of visual categories. They are also capable of handling images with complex, sensitive, or nuanced content, while adapting to varying aspect ratios and resolutions.

✨ Space/App : https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
🫙 Model : https://huggingface.co/OpenGVLab/InternVL3_5-2B-MPO
↗️ Collection: https://huggingface.co/collections/OpenGVLab/internvl35-68ac87bd52ebe953485927fb
🗞️ Paper : https://arxiv.org/pdf/2508.18265
↗️ Multimodal Space Collection : https://huggingface.co/collections/prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0

To learn more, visit the relevant spaces, collections, and model cards.
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prithivMLmods John6666 Nymbo sezan92 salimalsazu
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prithivMLmods Nymbo
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prithivMLmods Nymbo
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Salim Al Sazu
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65bb837dbfb878f46c77de4c
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Prithiv Sakthi
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