ESMFold2-300 / config.json
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Record the current runtime bundle identity for the embedded confidence release
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{
"architectures": [
"ESMFold2ExperimentalModel"
],
"auto_map": {
"AutoConfig": "modeling_fastplms.ESMFold2Config",
"AutoModel": "modeling_fastplms.ESMFold2ExperimentalModel",
"AutoModelForSequenceClassification": "modeling_fastplms.ESMFold2ExperimentalForSequenceClassification",
"AutoModelForTokenClassification": "modeling_fastplms.ESMFold2ExperimentalForTokenClassification"
},
"confidence_head": {
"distogram_bins": 128,
"enabled": true,
"folding_trunk": {
"dropout": 0.25,
"n_heads": 8,
"n_layers": 4
},
"max_dist": 52.0,
"min_dist": 2.0,
"num_pae_bins": 64,
"num_pde_bins": 64,
"num_plddt_bins": 50
},
"d_pair": 256,
"d_single": 384,
"disable_msa_features": true,
"dtype": "float32",
"esmc_id": "Synthyra/ESMplusplus_small",
"fastplms_checkpoint_hash": "bb2eaf6389e1d58f5117ca3173a5ee73d73548cda5c89f95f85c4a2280ad0e7e",
"fastplms_checkpoint_repo_id": "Synthyra/ESMFold2-300",
"fastplms_model_id": "esmfold2_300",
"fastplms_runtime_bundle_sha256": "2ef7cccec8dfd129c6621d7bbb4b9f91a0ed1be1fd3f62d670259a4a9e199af0",
"folding_trunk": {
"dropout": 0.25,
"n_heads": 8,
"n_layers": 24
},
"force_lm_dropout_during_inference": false,
"inputs": {
"atom_encoder": {
"d_atom": 128,
"d_token": 768,
"expansion_ratio": 2,
"n_blocks": 3,
"n_heads": 4,
"n_spatial_rope_pairs_per_axis": 2,
"n_uid_rope_pairs": 10,
"spatial_rope_base_frequency": 20.0,
"swa_window_size": 128,
"uid_rope_base_frequency": 10000.0
},
"d_inputs": 451
},
"lm_d_model": 960,
"lm_dropout": 0.0,
"lm_num_layers": 30,
"model_type": "esmfold2",
"msa_conditioning": false,
"msa_encoder": {
"d_hidden": 32,
"d_msa": 128,
"enabled": false,
"msa_head_width": 32,
"n_heads_msa": 8,
"n_layers": 4
},
"n_relative_chain_bins": 2,
"n_relative_residx_bins": 32,
"num_diffusion_samples": 16,
"num_loops": 3,
"structure_head": {
"diffusion_module": {
"atom_num_blocks": 3,
"atom_num_heads": 4,
"c_atom": 128,
"c_s_inputs": 451,
"c_token": 768,
"c_z": 256,
"fourier_dim": 256,
"relpos_r_max": 32,
"relpos_s_max": 2,
"sigma_data": 16.0,
"token_num_blocks": 12,
"token_num_heads": 16,
"transition_multiplier": 2
},
"distogram_bins": 128,
"gamma_0": 0.605,
"gamma_min": 1.107,
"inference_num_steps": 15,
"inference_p": 8.0,
"inference_s_max": 160.0,
"inference_s_min": 0.0004,
"noise_scale": 0.901,
"step_scale": 1.638,
"train_noise_log_mean": -1.2,
"train_noise_log_std": 1.5
},
"transformers_version": "4.57.6",
"type": "experimental",
"confidence_head_release": {
"name": "v1",
"head_sha256": "40fd7f3d82fcefe8ad20ab2b32a37a68a84b54a527a4bce6eb9437bad2b77e31",
"base_weight_sha256": "44d6797c5efebf24753d502b40950e0874871c96ceea14f2d7f7e39cebac67fd",
"training_url": "https://wandb.ai/lhallee/fastplms-confidence/runs/9558b6d23daf",
"updates": 780,
"evaluation_request_sha256": "be5fb9a4b65a0c2abfa040069ffd4344a9d220ef8e595711c4849a62401e281a"
}
}