Imagegpt Small
OpenAI's ImageGPT Small is a transformer decoder model pretrained on 14 million images from ImageNet ILSVRC 2012 at a resolution of 32x32 pixels, learning to predict the next pixel value given the previous ones. It is genuinely best at learning an inner representation of images for downstream tasks such as feature extraction and unconditional image generation.
Input
Output
Context
1K
Max Output
1K
Parameters
76M
Technical Specifications
Model TypeImage
Context Window1,024 tokens
Max Output Tokens1,024 tokens
Parameters76M
Release DateMar 2, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
ImageEmbedding
Capabilities
Resources & Links
Estimated GPU Requirements for Imagegpt Small
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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