{ "architectures": [ "InternVLChatModel" ], "auto_map": { "AutoConfig": "configuration_internvl_chat.InternVLChatConfig", "AutoModel": "modeling_internvl_chat.InternVLChatModel", "AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel" }, "downsample_ratio": 0.5, "dtype": "bfloat16", "dynamic_image_size": true, "eos_token_id": 151645, "force_image_size": 448, "hidden_size": 8192, "image_fold": null, "llm_config": { "_name_or_path": "./pretrained/Qwen2.5-32B-Instruct", "architectures": [ "Qwen2ForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151643, "hidden_act": "silu", "hidden_size": 8192, "initializer_range": 0.02, "intermediate_size": 29568, "layer_types": [ "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention" ], "max_position_embeddings": 32768, "max_window_layers": 70, "model_type": "qwen2", "moe_config": null, "num_attention_heads": 64, "num_hidden_layers": 80, "num_key_value_heads": 8, "rms_norm_eps": 1e-06, "rope_scaling": { "factor": 2.0, "rope_type": "dynamic", "type": "dynamic" }, "rope_theta": 1000000.0, "sliding_window": null, "use_bfloat16": true, "use_cache": false, "use_sliding_window": false, "vocab_size": 151674 }, "max_dynamic_patch": 12, "min_dynamic_patch": 1, "model_type": "internvl_chat", "output_attentions": false, "pad2square": false, "pad_token_id": 151643, "ps_version": "v2", "select_layer": -1, "system_message": null, "template": "internvl2_5", "tie_word_embeddings": false, "transformers_version": null, "use_backbone_lora": 0, "use_llm_lora": 0, "use_thumbnail": true, "vision_config": { "_name_or_path": "OpenGVLab/InternViT-6B-448px-V1-5", "architectures": [ "InternVisionModel" ], "attention_dropout": 0.0, "auto_map": { "AutoConfig": "configuration_intern_vit.InternVisionConfig", "AutoModel": "modeling_intern_vit.InternVisionModel" }, "capacity_factor": 1.2, "drop_path_rate": 0.4, "dropout": 0.0, "dtype": "bfloat16", "eval_capacity_factor": 1.4, "hidden_act": "gelu", "hidden_size": 3200, "image_size": 448, "initializer_factor": 0.1, "initializer_range": 1e-10, "intermediate_size": 12800, "laux_allreduce": "all_nodes", "layer_norm_eps": 1e-06, "model_type": "intern_vit_6b", "moe_coeff_ratio": 0.5, "moe_intermediate_size": 3200, "moe_output_scale": 4.0, "noisy_gate_policy": "RSample_before", "norm_type": "rms_norm", "num_attention_heads": 25, "num_channels": 3, "num_experts": 8, "num_hidden_layers": 45, "num_routed_experts": 4, "num_shared_experts": 4, "patch_size": 14, "qk_normalization": true, "qkv_bias": false, "shared_expert_intermediate_size": 12800, "use_bfloat16": true, "use_flash_attn": true, "use_moe": false, "use_residual": true, "use_rts": false, "use_weighted_residual": false } }