mini_gpt4_vicuna13b.yaml

model:
  arch: instruct_vicuna13b
  load_finetuned: True
  load_pretrained: True

  pretrained: "path/to/pretrained/weight"
  finetuned: "path/to/finetuned/weight"

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

  # Q-Former
  num_query_token: 32

  # path to Vicuna checkpoint
  llm_model: "path/to/vicuna/weight"

  # generation configs
  prompt: ""


preprocess:
    vis_processor:
        train:
          name: "blip2_image_train"
          image_size: 224
        eval:
          name: "blip_image_eval"
          image_size: 224
    text_processor:
        train:
          name: "blip_caption"
        eval:
          name: "blip_caption"