Image-Text-to-Text
Transformers
PyTorch
English
doubutsu
conversational
custom_code
Inference Endpoints
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{
  "auto_map": {
    "AutoConfig": "configuration_doubutsu.DoubutsuConfig",
    "AutoModelForCausalLM": "modeling_doubutsu.Doubutsu"
  },
  "model_type": "doubutsu",
  "text_config": {
    "_name_or_path": "Qwen/Qwen2-1.5B-Instruct",
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "bos_token_id": 151643,
    "eos_token_id": 151645,
    "hidden_size": 1536,
    "intermediate_size": 8960,
    "max_length": 32768,
    "model_type": "qwen2",
    "num_attention_heads": 12,
    "num_hidden_layers": 28,
    "num_key_value_heads": 2,
    "rope_theta": 1000000.0,
    "sliding_window": 32768,
    "tie_word_embeddings": true,
    "torch_dtype": "bfloat16"
  },
  "transformers_version": "4.40.1",
  "vision_config": {
    "_name_or_path": "google/siglip-so400m-patch14-384",
    "hidden_size": 1152,
    "image_size": 384,
    "intermediate_size": 4304,
    "model_type": "siglip_vision_model",
    "num_attention_heads": 16,
    "num_hidden_layers": 27,
    "patch_size": 14
  }
}