├── .gitignore ├── LICENSE ├── README.md ├── docs ├── COST.md ├── Data.md └── Getting_Started.md ├── images ├── VCoder-COST.svg ├── demo1.png ├── demo2.png ├── demo3.png ├── demo4.png ├── demo5.png ├── demo6.png ├── eval.svg ├── features.svg ├── logo.png └── vcoder.svg ├── playground └── data │ ├── eval │ └── gqa │ │ └── data │ │ └── eval │ │ └── eval.py │ └── prompts │ ├── complex_reasoning │ ├── 000_caps.txt │ ├── 000_conv.txt │ ├── 001_caps.txt │ ├── 001_conv.txt │ ├── 002_caps.txt │ ├── 002_conv.txt │ └── system_message.txt │ ├── conversation │ ├── 000_caps.txt │ ├── 000_conv.txt │ ├── 001_caps.txt │ ├── 001_conv.txt │ └── system_message.txt │ └── detail_description │ ├── 000_caps.txt │ ├── 000_conv.txt │ ├── 001_caps.txt │ ├── 001_conv.txt │ ├── 002_caps.txt │ ├── 002_conv.txt │ └── system_message.txt ├── pyproject.toml ├── scripts ├── convert_gqa_for_eval.py ├── convert_mmbench_for_submission.py ├── convert_vizwiz_for_submission.py ├── convert_vqav2_for_submission.py ├── merge_lora_weights.py ├── v1_5 │ ├── eval │ │ ├── cost.sh │ │ ├── cost_depth.sh │ │ ├── gqa.sh │ │ ├── mmbench.sh │ │ ├── mme.sh │ │ ├── pope.sh │ │ ├── vizwiz.sh │ │ └── vqav2.sh │ ├── finetune.sh │ ├── finetune_lora.sh │ ├── pretrain.sh │ ├── vcoder_ds_train.sh │ ├── vcoder_it.sh │ ├── vcoder_it_lora.sh │ └── vcoder_train.sh ├── zero2.json ├── zero3.json └── zero3_offload.json └── vcoder_llava ├── __init__.py ├── constants.py ├── data_utils.py ├── eval ├── eval_depth_accuracy.py ├── eval_pope.py ├── eval_seg_accuracy.py ├── eval_seg_accuracy_gpt4.py ├── gpt4_query.py ├── m4c_evaluator.py ├── model_depth_loader.py ├── model_seg_loader.py ├── model_vqa_loader.py ├── model_vqa_mmbench.py ├── model_vqa_mme.py └── synonyms.txt ├── mm_utils.py ├── model ├── __init__.py ├── apply_delta.py ├── builder.py ├── consolidate.py ├── language_model │ ├── llava_llama.py │ ├── vcoder_ds_llava_llama.py │ ├── vcoder_it_llava_llama.py │ └── vcoder_llava_llama.py ├── llava_arch.py ├── make_delta.py ├── multimodal_adapter │ └── builder.py ├── multimodal_depth_adapter │ └── builder.py ├── multimodal_encoder │ ├── builder.py │ └── clip_encoder.py ├── multimodal_projector │ └── builder.py ├── utils.py ├── vcoder_ds_llava_arch.py ├── vcoder_it_llava_arch.py └── vcoder_llava_arch.py ├── questions.py ├── serve ├── __init__.py ├── chat.py ├── cli.py ├── examples │ ├── corgi.jpg │ ├── corgi_pan.png │ ├── depth.jpeg │ ├── depth_depth.png │ ├── depth_pan.png │ ├── friends.jpg │ ├── friends_pan.png │ ├── people.jpg │ ├── people_pan.png │ ├── suits.jpg │ ├── suits_depth.jpeg │ ├── suits_ins.png │ └── suits_pan.png └── gradio_app.py ├── train ├── llama_flash_attn_monkey_patch.py ├── llava_trainer.py ├── train.py ├── train_mem.py ├── vcoder_ds_llava_trainer.py ├── vcoder_ds_train.py ├── vcoder_ds_train_mem.py ├── vcoder_it.py ├── vcoder_it_mem.py ├── vcoder_llava_trainer.py ├── vcoder_train.py └── vcoder_train_mem.py ├── utils.py └── vcoder_conversation.py /.gitignore: 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