config.json

{
  "architectures": [
    "SiglipModel"
  ],
  "initializer_factor": 1.0,
  "model_type": "siglip",
  "text_config": {
    "_attn_implementation_autoset": true,
    "_name_or_path": "../clip-training/checkpoints/jgi8443g/samples_9999872",
    "architectures": [
      "SiglipTextModel"
    ],
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "intermediate_size": 4304,
    "layer_norm_eps": 1e-06,
    "max_position_embeddings": 256,
    "model_type": "siglip_text_model",
    "num_attention_heads": 16,
    "num_hidden_layers": 27,
    "projection_size": 1152,
    "torch_dtype": "float32",
    "vocab_size": 256000
  },
  "torch_dtype": "float32",
  "transformers_version": "4.51.0.dev0",
  "vision_config": {
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "image_size": 384,
    "intermediate_size": 4304,
    "layer_norm_eps": 1e-06,
    "model_type": "siglip_vision_model",
    "num_attention_heads": 16,
    "num_channels": 3,
    "num_hidden_layers": 27,
    "patch_size": 14,
    "torch_dtype": "float32"
  }
}