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