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{
  "architectures": [
    "SmolVLMVisionTransformer"
  ],
  "attention_dropout": 0.1,
  "dropout": 0.1,
  "dtype": "float32",
  "hidden_act": "gelu_pytorch_tanh",
  "hidden_size": 32,
  "image_size": 16,
  "initializer_range": 0.02,
  "intermediate_size": 32,
  "layer_norm_eps": 1e-06,
  "model_type": "smolvlm_vision",
  "num_attention_heads": 4,
  "num_channels": 3,
  "num_hidden_layers": 2,
  "patch_size": 4,
  "transformers_version": "5.16.0.dev0"
}