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SmolDocling

Name: SmolDocling
Brand: SmolDocling
Rating: 5 (158 reviews)

256M VLM for end-to-end document AI

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158 Upvotes

About

SmolDocling-256M-preview is an ultra-compact multimodal Image-Text-to-Text model designed for efficient document conversion. It supports a wide range of features including OCR, layout and localization, code, formula, chart, and table recognition, figure classification, caption correspondence, and full-page conversion. The model utilizes 'DocTags' for efficient tokenization and is fully compatible with Docling for exporting to various formats like HTML and Markdown. It is based on the Idefics3 architecture and finetuned from SmolVLM-256M-Instruct, developed by the Docling Team at IBM Research.

Categories & Tags

Open Source Artificial Intelligence Development #Minimal #Clean #Functional #Modern #Technical

Color Palette

Background White

#FFFFFF

85%

Primary Text Dark Grey

#333333

10%

Hugging Face Blue (Accent/Links)

#1F70F3

Secondary Text/Borders Grey

#666666

Typography

Inter

Headings and Body Text

Design Review

The design of the SmolDocling-256M-preview page on Hugging Face is highly functional and adheres to a clean, modern aesthetic. The predominant use of white space with dark grey text ensures excellent readability, which is crucial for technical documentation. The Hugging Face blue is consistently used for branding, links, and interactive elements, providing clear visual cues without being distracting. The layout is well-structured with clear headings, bullet points, and code examples, making complex information digestible. The use of emojis alongside feature descriptions adds a touch of visual appeal and helps in quick scanning. Overall, the design prioritizes usability and clarity, creating an efficient and professional user experience for developers and researchers.