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{
"_name_or_path": "bunny-pretrain-minicpm-siglip",
"architectures": [
"MiniCPMForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_minicpm.MiniCPMConfig",
"AutoModel": "modeling_minicpm.MiniCPMModel",
"AutoModelForCausalLM": "modeling_minicpm.MiniCPMForCausalLM",
"AutoModelForSeq2SeqLM": "modeling_minicpm.MiniCPMForCausalLM",
"AutoModelForSequenceClassification": "modeling_minicpm.MiniCPMForSequenceClassification"
},
"bos_token_id": 1,
"dim_model_base": 256,
"eos_token_id": 2,
"freeze_mm_mlp_adapter": false,
"hidden_act": "silu",
"hidden_size": 2304,
"image_aspect_ratio": "square",
"initializer_range": 0.1,
"intermediate_size": 5760,
"max_position_embeddings": 2048,
"mm_hidden_size": 1152,
"mm_projector_lr": null,
"mm_projector_type": "mlp2x_gelu",
"mm_vision_tower": "google/siglip-so400m-patch14-384",
"model_type": "bunny-minicpm",
"num_attention_heads": 36,
"num_hidden_layers": 40,
"num_key_value_heads": 36,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"scale_depth": 1.4,
"scale_emb": 12,
"tokenizer_model_max_length": 2048,
"tokenizer_padding_side": "right",
"torch_dtype": "bfloat16",
"transformers_version": "4.38.2",
"tune_mm_mlp_adapter": true,
"unfreeze_vision_tower": false,
"use_cache": true,
"use_mm_proj": true,
"vocab_size": 122753
}