alphagenome_pytorch / config.json
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{
"model_type": "alphagenome",
"architecture": "AlphaGenome",
"input_sequence_length": 1048576,
"organisms": ["human", "mouse"],
"heads": {
"atac": {"num_tracks": 256, "resolutions": [1, 128]},
"dnase": {"num_tracks": 384, "resolutions": [1, 128]},
"procap": {"num_tracks": 128, "resolutions": [1, 128]},
"cage": {"num_tracks": 640, "resolutions": [1, 128]},
"rna_seq": {"num_tracks": 768, "resolutions": [1, 128], "apply_squashing": true},
"chip_tf": {"num_tracks": 1664, "resolutions": [128]},
"chip_histone": {"num_tracks": 1152, "resolutions": [128]},
"contact_maps": {"num_maps": 28, "resolution": "64x64"},
"splice_sites_classification": {"num_classes": 5, "resolution": 1},
"splice_sites_usage": {"num_tracks": 734, "resolution": 1},
"splice_sites_junction": {"num_tissues": 367, "resolution": "pairwise"}
},
"encoder": {
"initial_channels": 768,
"num_down_blocks": 6,
"bin_sizes": [2, 4, 8, 16, 32, 64]
},
"transformer_tower": {
"d_model": 1536,
"num_blocks": 9
},
"output_embedders": {
"1bp": {"out_channels": 1536},
"128bp": {"out_channels": 3072},
"pair": {"out_channels": 128}
},
"tensor_format": "NLC",
"torch_dtype": "float32"
}