config.json

{
  "architectures": [
    "Sa2VAChatModel"
  ],
  "auto_map": {
    "AutoConfig": "configuration_sa2va_chat.Sa2VAChatConfig",
    "AutoModel": "modeling_sa2va_chat.Sa2VAChatModel",
    "AutoModelForCausalLM": "modeling_sa2va_chat.Sa2VAChatModel"
  },
  "downsample_ratio": 0.5,
  "dtype": "bfloat16",
  "dynamic_image_size": true,
  "force_image_size": 448,
  "hidden_size": 5120,
  "image_fold": null,
  "llm_config": {
    "_attn_implementation_autoset": true,
    "_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": 5120,
    "initializer_range": 0.02,
    "intermediate_size": 13824,
    "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"
    ],
    "max_position_embeddings": 32768,
    "max_window_layers": 70,
    "model_type": "qwen2",
    "moe_config": null,
    "num_attention_heads": 40,
    "num_hidden_layers": 48,
    "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": 151679
  },
  "max_dynamic_patch": 12,
  "min_dynamic_patch": 1,
  "model_type": "sa2va_chat",
  "output_attentions": false,
  "pad2square": false,
  "ps_version": "v2",
  "select_layer": -1,
  "system_message": null,
  "template": "qwen_chat",
  "tie_word_embeddings": false,
  "transformers_version": null,
  "use_backbone_lora": 0,
  "use_llm_lora": 0,
  "use_thumbnail": true,
  "vision_config": {
    "_attn_implementation_autoset": true,
    "_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": 0.1,
    "dropout": 0.0,
    "dtype": "bfloat16",
    "eval_capacity_factor": 1.4,
    "hidden_act": "gelu",
    "hidden_size": 1024,
    "image_size": 448,
    "initializer_factor": 0.1,
    "initializer_range": 1e-10,
    "intermediate_size": 4096,
    "laux_allreduce": "all_nodes",
    "layer_norm_eps": 1e-06,
    "model_type": "intern_vit_6b",
    "moe_coeff_ratio": 0.5,
    "moe_intermediate_size": 768,
    "moe_output_scale": 4.0,
    "noisy_gate_policy": "RSample_before",
    "norm_type": "layer_norm",
    "num_attention_heads": 16,
    "num_channels": 3,
    "num_experts": 8,
    "num_hidden_layers": 24,
    "num_routed_experts": 4,
    "num_shared_experts": 4,
    "patch_size": 14,
    "qk_normalization": false,
    "qkv_bias": true,
    "shared_expert_intermediate_size": 3072,
    "use_bfloat16": true,
    "use_flash_attn": true,
    "use_moe": false,
    "use_residual": true,
    "use_rts": false,
    "use_weighted_residual": false
  }
}