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upvoted a paper 5 days ago
Multimodal OCR: Parse Anything from Documents reacted to prithivMLmods's post with ❤️ 7 months ago
Introducing https://huggingface.co/prithivMLmods/DeepCaption-VLA-7B, a multimodal VLM designed for reasoning with long-shot captions (Captioning and Vision-Language Attribution). It focuses on defining visual properties, object attributes, and scene details across a wide spectrum of images and aspect ratios, generating attribute-rich image captions. The model supports creative, artistic, and technical applications that require detailed descriptions. 🤗🔥
✦︎ Models: https://huggingface.co/prithivMLmods/DeepCaption-VLA-7B, also includes https://huggingface.co/prithivMLmods/DeepAttriCap-VLA-3B, an experimental model for vision-language attribution.
✦︎ Try the demo here: https://huggingface.co/spaces/prithivMLmods/VisionScope-R2
✦︎ Try it now on Google Colab, with support for T4 GPUs in 4-bit quant_type: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/DeepCaption-VLA-7B%5B4bit%20-%20notebook%20demo%5D/DeepCaption-VLA-7B.ipynb
✦︎ Collection: https://huggingface.co/collections/prithivMLmods/deepcaption-attr-68b041172ebcb867e45c556a
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To know more about it, visit the model card of the respective model. !! reacted to hesamation's post with ❤️ 11 months ago
this paper has been blowing up
they train an open-source multimodal LLM (InternVL3) that can compete with GPT-4o and Claude 3.5 Sonnet by:
> training text and vision on a single stage
> a novel V2PE positional encoding
> SFT & mixed preference optimization
Paper: https://huggingface.co/papers/2504.10479
> test-time scalingOrganizations
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