| { | |
| "add_pooling_layer": true, | |
| "architectures": [ | |
| "ViTNepaForPreTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "drop_path_prob": 0.0, | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1024, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "is_causal": true, | |
| "layer_norm_eps": 1e-12, | |
| "layerscale_value": 1e-05, | |
| "model_type": "vit_nepa", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "num_prompt_token": 0, | |
| "patch_size": 14, | |
| "pos_embed_jitter": null, | |
| "pos_embed_rescale": 2.0, | |
| "pos_embed_shift": null, | |
| "qk_norm": true, | |
| "qk_norm_affine": true, | |
| "qk_norm_bias": false, | |
| "qkv_bias": true, | |
| "rope_theta": 100.0, | |
| "transformers_version": "4.56.2", | |
| "use_gated_mlp": false | |
| } | |