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ModelAtlas Community Dataset
Community-contributed model architecture analyses from the ModelAtlas project.
Dataset Description
This dataset contains detailed architectural analyses of transformer models, contributed by the ModelAtlas research community. Each record provides deep insights into model structure, techniques, and intervention points for research purposes.
Access Levels
- Public: Basic architectural data
- Contributor: Intervention mapping (requires contribution history)
- Heretic: Advanced ablation techniques (requires community approval)
Data Schema
{
"model_id": "organization/model-name",
"schema_version": 3,
"config": {"hidden_size": 4096, "num_layers": 36},
"techniques": {"positional_encoding": "rope"},
"provenance": {"organization": "org", "license": "apache-2.0"},
"intervention_map": {"access_controlled": true},
"quality_score": 0.95
}
Usage
from datasets import load_dataset
# Load public data
dataset = load_dataset("RadicalNotionAI/modelatlas-community")
# Access level filtering handled by ModelAtlas access control system
Contributing
Contribute analyses through the ModelAtlas CLI:
python atlas.py contribute --setup
python atlas.py contribute --submit
Community
- Dashboard: https://huggingface.co/spaces/RadicalNotionAI/modelatlas-dashboard
- Documentation: ModelAtlas GitHub
- Access Requests: Through the community dashboard
Built with ModelAtlas - Architectural Intelligence for AI Research
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