├── .devcontainer ├── Dockerfile ├── devcontainer.env ├── devcontainer.json └── postCreateCommand.sh ├── .dockerignore ├── .editorconfig ├── .gitattributes ├── .github └── ISSUE_TEMPLATE │ ├── 1-usage.yaml │ ├── 2-feature-request.yaml │ ├── 3-question.yaml │ └── 4-discussion.yaml ├── .gitignore ├── LICENSE ├── README.md ├── cog.yaml ├── docs ├── Customize_Component.md ├── Data.md ├── Evaluation.md ├── Finetune_Custom_Data.md ├── Intel.md ├── LLaVA_Bench.md ├── LLaVA_from_LLaMA2.md ├── LoRA.md ├── MODEL_ZOO.md ├── ScienceQA.md ├── Windows.md └── macOS.md ├── evaluation ├── evaluate_final.py ├── inference.py └── llm_generate.py ├── images ├── demo_cli.gif ├── llava_example_cmp.png ├── llava_logo.png └── llava_v1_5_radar.jpg ├── llava ├── __init__.py ├── constants.py ├── conversation.py ├── eval │ ├── eval_gpt_review.py │ ├── eval_gpt_review_bench.py │ ├── eval_gpt_review_visual.py │ ├── eval_pope.py │ ├── eval_science_qa.py │ ├── eval_science_qa_gpt4.py │ ├── eval_science_qa_gpt4_requery.py │ ├── eval_textvqa.py │ ├── generate_webpage_data_from_table.py │ ├── m4c_evaluator.py │ ├── model_qa.py │ ├── model_vqa.py │ ├── model_vqa_loader.py │ ├── model_vqa_mmbench.py │ ├── model_vqa_science.py │ ├── qa_baseline_gpt35.py │ ├── run_llava.py │ ├── summarize_gpt_review.py │ └── webpage │ │ ├── figures │ │ ├── alpaca.png │ │ ├── bard.jpg │ │ ├── chatgpt.svg │ │ ├── llama.jpg │ │ ├── swords_FILL0_wght300_GRAD0_opsz48.svg │ │ └── vicuna.jpeg │ │ ├── index.html │ │ ├── script.js │ │ └── styles.css ├── mm_utils.py ├── model │ ├── __init__.py │ ├── apply_delta.py │ ├── builder.py │ ├── consolidate.py │ ├── depth │ │ ├── DA-2K.md │ │ ├── LICENSE │ │ ├── README.md │ │ ├── app.py │ │ ├── assets │ │ │ ├── DA-2K.png │ │ │ ├── examples │ │ │ │ ├── demo01.jpg │ │ │ │ ├── demo02.jpg │ │ │ │ ├── demo03.jpg │ │ │ │ ├── demo04.jpg │ │ │ │ ├── demo05.jpg │ │ │ │ ├── demo06.jpg │ │ │ │ ├── demo07.jpg │ │ │ │ ├── demo08.jpg │ │ │ │ ├── demo09.jpg │ │ │ │ ├── demo10.jpg │ │ │ │ ├── demo11.jpg │ │ │ │ ├── demo12.jpg │ │ │ │ ├── demo13.jpg │ │ │ │ ├── demo14.jpg │ │ │ │ ├── demo15.jpg │ │ │ │ ├── demo16.jpg │ │ │ │ ├── demo17.jpg │ │ │ │ ├── demo18.jpg │ │ │ │ ├── demo19.jpg │ │ │ │ └── demo20.jpg │ │ │ ├── examples_video │ │ │ │ ├── basketball.mp4 │ │ │ │ └── ferris_wheel.mp4 │ │ │ └── teaser.png │ │ ├── depth_anything_v2 │ │ │ ├── dinov2.py │ │ │ ├── dinov2_layers │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── block.py │ │ │ │ ├── drop_path.py │ │ │ │ ├── layer_scale.py │ │ │ │ ├── mlp.py │ │ │ │ ├── patch_embed.py │ │ │ │ └── swiglu_ffn.py │ │ │ ├── dpt.py │ │ │ └── util │ │ │ │ ├── blocks.py │ │ │ │ └── transform.py │ │ ├── metric_depth │ │ │ ├── README.md │ │ │ ├── assets │ │ │ │ └── compare_zoedepth.png │ │ │ ├── dataset │ │ │ │ ├── hypersim.py │ │ │ │ ├── kitti.py │ │ │ │ ├── splits │ │ │ │ │ ├── hypersim │ │ │ │ │ │ ├── train.txt │ │ │ │ │ │ └── val.txt │ │ │ │ │ ├── kitti │ │ │ │ │ │ └── val.txt │ │ │ │ │ └── vkitti2 │ │ │ │ │ │ └── train.txt │ │ │ │ ├── transform.py │ │ │ │ └── vkitti2.py │ │ │ ├── depth_anything_v2 │ │ │ │ ├── dinov2.py │ │ │ │ ├── dinov2_layers │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── attention.py │ │ │ │ │ ├── block.py │ │ │ │ │ ├── drop_path.py │ │ │ │ │ ├── layer_scale.py │ │ │ │ │ ├── mlp.py │ │ │ │ │ ├── patch_embed.py │ │ │ │ │ └── swiglu_ffn.py │ │ │ │ ├── dpt.py │ │ │ │ └── util │ │ │ │ │ ├── blocks.py │ │ │ │ │ └── transform.py │ │ │ ├── depth_to_pointcloud.py │ │ │ ├── dist_train.sh │ │ │ ├── requirements.txt │ │ │ ├── run.py │ │ │ ├── train.py │ │ │ └── util │ │ │ │ ├── dist_helper.py │ │ │ │ ├── loss.py │ │ │ │ ├── metric.py │ │ │ │ └── utils.py │ │ ├── requirements.txt │ │ ├── run.py │ │ └── run_video.py │ ├── depth_encoding.py │ ├── language_model │ │ ├── llava_llama.py │ │ ├── llava_mistral.py │ │ └── llava_mpt.py │ ├── llava_arch.py │ ├── make_delta.py │ ├── multimodal_encoder │ │ ├── builder.py │ │ └── clip_encoder.py │ ├── multimodal_projector │ │ └── builder.py │ └── utils.py ├── serve │ ├── __init__.py │ ├── cli.py │ ├── controller.py │ ├── examples │ │ ├── extreme_ironing.jpg │ │ └── waterview.jpg │ ├── gradio_web_server.py │ ├── model_worker.py │ ├── register_worker.py │ ├── sglang_worker.py │ └── test_message.py ├── train │ ├── llama_flash_attn_monkey_patch.py │ ├── llama_xformers_attn_monkey_patch.py │ ├── llava_trainer.py │ ├── train.py │ ├── train_mem.py │ └── train_xformers.py └── utils.py ├── predict.py ├── pyproject.toml └── scripts ├── convert_gqa_for_eval.py ├── convert_mmbench_for_submission.py ├── convert_mmvet_for_eval.py ├── convert_seed_for_submission.py ├── convert_sqa_to_llava.py ├── convert_sqa_to_llava_base_prompt.py ├── convert_vizwiz_for_submission.py ├── convert_vqav2_for_submission.py ├── extract_mm_projector.py ├── finetune.sh ├── finetune_full_schedule.sh ├── finetune_lora.sh ├── finetune_qlora.sh ├── finetune_sqa.sh ├── merge_lora_weights.py ├── pretrain.sh ├── pretrain_xformers.sh ├── sqa_eval_batch.sh ├── 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