{
  "architectures": [
    "SiglipVisionModel"
  ],
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  "hidden_act": "gelu_pytorch_tanh",
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  "image_size": 384,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-06,
  "model_type": "siglip_vision_model",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "torch_dtype": "float32",
  "transformers_version": "4.50.3"
}