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"model_name": "AtmoRep",
"model_type": "atmorep",
"architectures": [
"TinyAtmoRep"
],
"framework": "PyTorch",
"domain": "atmosphere",
"task": "masked-atmospheric-representation-learning",
"implementation": {
"entry_point": "model/tiny_atmorep.py",
"scope": "single-field compact validation model; official vorticity resources are retained separately"
},
"architecture": {
"family": "masked-token transformer",
"input_shape": [
4,
1,
8,
8
],
"input_shape_order": [
"time",
"variable",
"latitude",
"longitude"
],
"patch_shape": [
1,
4,
4
],
"embedding_size": 32,
"encoder_layers": 2,
"attention_heads": 4,
"supported_fields": 1
},
"official_resource": {
"field": "vorticity",
"model_levels": [
96,
105,
114,
123,
137
],
"global_grid_shape": [
721,
1440
],
"spatial_resolution_degrees": 0.25,
"encoder_layers": 10,
"encoder_attention_heads": 16,
"decoder_layers": 10,
"decoder_attention_heads": 16
},
"configuration_sources": [
"model/tiny_atmorep.py",
"resources/id4nvwbetz/model_id4nvwbetz.json",
"README.md"
]
}
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