AI models
Idefics2
Parameters
8B
Published
May 3, 2024
Idefics2 is an AI model developed by Hugging Face and Sorbonne University (United States and France), first published in May 2024. It works in the multimodal, language and vision domain, on tasks such as language modeling, image captioning and visual question answering.
Epoch AI has no training-compute estimate for this model. The model has 8,000,000,000 parameters. It was trained on roughly 160.5B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Mistral 7B,SigLIP 400M. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Hugging Face, Sorbonne University
- Country of organization
- United States, France
- Domain
- Multimodal, Language, Vision
- Task
- Language modeling, Image captioning, Visual question answering
- Compute estimation method
- Operation counting
- Parameters
- 8,000,000,000
- Dataset size
- 160.5B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Mistral 7B, SigLIP 400M
- 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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