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model:
arch: mini_gpt4
# 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
# Vicuna
# llama_model: "/home/ubuntu/ckpt/hf/Llama-2-7b-chat-hf"
# llama_model: "/home/ubuntu/ckpt/hf/vicuna-7b-v1.5" # "/home/ubuntu/ckpt/hf/vicuna-13b-delta-v0"
llama_model: "/home/ubuntu/ckpt/Meta-Llama-3-8B-Instruct-hf"
# generation configs
prompt: ""
preprocess:
vis_processor:
train:
name: "blip2_image_train"
image_size: 224
eval:
name: "blip2_image_eval"
image_size: 224
text_processor:
train:
name: "blip_caption"
eval:
name: "blip_caption"