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ColPali

Parameters
3B
Published
Jul 5, 2024

ColPali is an AI model developed by Illuin Technology, Equall.ai, University Paris-Saclay and ETH Zurich (France, United States and Switzerland), first published in July 2024. It works in the vision domain, on tasks such as character recognition (ocr).

Epoch AI has no training-compute estimate for this model. The model has 3,000,000,000 parameters. Training ran on 8 AMD Radeon Instinct MI250X.

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

Full record
Organization
Illuin Technology, Equall.ai, University Paris-Saclay, ETH Zurich
Country of organization
France, United States, Switzerland
Domain
Vision
Task
Character recognition (OCR)
Compute estimation method
Hardware
Parameters
3,000,000,000
Training hardware
AMD Radeon Instinct MI250X
Chips used
8
Chip-hours
40
Training power draw
7.9 kW
Numerical format
BF16
Model accessibility
Open weights (restricted use)
Open weights
Yes
Base model
PaliGemma
Epoch confidence
Confident
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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