MLLM_Excercise_Model / config.json
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{
"_name_or_path": "MLLMModel",
"version": 2.6,
"architectures": [
"MLLMModel"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 18944,
"max_position_embeddings": 32768,
"max_window_layers": 28,
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 131072,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.0",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151666,
"batch_vision_input": true,
"drop_vision_last_layer": false,
"image_size": 448,
"model_type": "mllm",
"patch_size": 14,
"query_num": 64,
"slice_config": {
"max_slice_nums": 9,
"patch_size": 14,
"model_type": "mllm"
},
"slice_mode": true,
"vision_config": {
"hidden_size": 1152,
"image_size": 980,
"intermediate_size": 4304,
"model_type": "siglip",
"num_attention_heads": 16,
"num_hidden_layers": 27,
"patch_size": 14
}
}