vlmeval/vlm/misc/minigpt4_7b_eval.yaml

model:
  arch: minigpt4
  model_type: pretrain_vicuna_7b
  max_txt_len: 160
  end_sym: "###"
  low_resource: True
  prompt_template: '###Human: {} ###Assistant: '
  ckpt: "please set this value to the path of pretrained checkpoint"

  # vit encoder
  image_size: 224
  drop_path_rate: 0
  use_grad_checkpoint: False
  vit_precision: "fp16"
  freeze_vit: True
  freeze_qformer: True

  # Q-Former
  num_query_token: 32

  # generation configs
  prompt: ""

  llama_model: "please set this value to the path of vicuna-7b-v0"


datasets:
  cc_sbu_align:
    vis_processor:
      train:
        name: "blip2_image_eval"
        image_size: 224
    text_processor:
      train:
        name: "blip_caption"

run:
  task: image_text_pretrain