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Granite-Docling

Parameters
258M
Published
Sep 17, 2025

Granite-Docling is an AI model developed by IBM (United States), first published in September 2025. It works in the vision, multimodal and language domain, on tasks such as visual question answering, character recognition (ocr) and retrieval-augmented generation.

Epoch AI has no training-compute estimate for this model. The model has 258,000,000 parameters. Training ran on NVIDIA H100 SXM5 80GB.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of SigLIP 2. Epoch AI rates the confidence of this record as confident.

Full record
Organization
IBM
Country of organization
United States
Domain
Vision, Multimodal, Language
Task
Visual question answering, Character recognition (OCR), Retrieval-augmented generation
Parameters
258,000,000
Training hardware
NVIDIA H100 SXM5 80GB
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Base model
SigLIP 2
Epoch confidence
Confident
More from IBM
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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