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polymathic-ai / aion-xlarge
Model's Last Updated: April 08 2026
any-to-any
Introduction of aion-xlarge
Model Details of aion-xlarge
AION-1: Astronomical Omnimodal Network
AION-xlarge is a 3B parameter large omnimodal model specifically designed for astronomical surveys. It integrates 39 distinct astronomical data types and enables adaptation to a wide range of astronomical tasks through multimodal masked modeling.
Model Details
- Architecture : Encoder-Decoder Transformer (24 blocks each, 2048 dim, 32 heads)
- Parameters : 3B
- Training : Multimodal Masked Modeling (4M) on astronomical survey data
- Modalities : 39 data types including imaging, spectra, catalogs, and photometry
Quick Start
from aion import AION
# Load the pretrained model
model = AION.from_pretrained('polymathic-ai/aion-xlarge')
# Your astronomical analysis begins here!
Supported Data Types
AION-Base processes data from major astronomical surveys:
- Imaging: Legacy Survey, HSC Wide
- Spectra: SDSS, DESI
- Catalog: Legacy Survey entries
- Gaia: BP/RP spectra, parallax, coordinates, photometry
- Photometry: Legacy Survey (g,r,i,z + WISE), HSC (g,r,i,z,y)
- Shape: Ellipticity and morphological parameters
Installation
pip install polymathic-aion
Resources
- GitHub: https://github.com/PolymathicAI/AION
- Tutorial: https://colab.research.google.com/github/PolymathicAI/AION/blob/main/notebooks/Tutorial.ipynb
License
MIT License - see https://github.com/PolymathicAI/AION/blob/main/LICENSE for details.
Built with ❤ for the astronomical community by https://polymathic-ai.org/
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