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tags:
- model_hub_mixin
- pytorch_model_hub_mixin
license: mit
datasets:
- MultimodalUniverse/legacysurvey
- MultimodalUniverse/hsc
- MultimodalUniverse/gaia
- MultimodalUniverse/sdss
- MultimodalUniverse/desi
pipeline_tag: any-to-any
library_name: aion
---
# AION-1: Astronomical Omnimodal Network
[](https://opensource.org/licenses/MIT)
[](https://github.com/PolymathicAI/AION)
[](https://arxiv.org/abs/2510.17960)
[](https://colab.research.google.com/github/PolymathicAI/AION/blob/main/notebooks/Tutorial.ipynb)
**AION-large** is a 800M 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, 1024 dim, 16 heads)
- **Parameters**: 300M
- **Training**: Multimodal Masked Modeling (4M) on astronomical survey data
- **Modalities**: 39 data types including imaging, spectra, catalogs, and photometry
## Quick Start
```python
from aion import AION
# Load the pretrained model
model = AION.from_pretrained('polymathic-ai/aion-large')
# 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
```bash
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/ |