├── .devcontainer ├── Dockerfile ├── devcontainer.env ├── devcontainer.json └── postCreateCommand.sh ├── .dockerignore ├── .editorconfig ├── .gitattributes ├── .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 ├── images ├── demo_cli.gif ├── llava_example_cmp.png ├── llava_logo.png └── llava_v1_5_radar.jpg ├── llava ├── __init__.py ├── constants.py ├── conversation.py ├── dynamic_eval │ ├── bench_test │ │ ├── dynamic_llava_image_time_and_mem.py │ │ ├── dynamic_llava_long_text_mem.py │ │ ├── dynamic_llava_long_text_time_with_no_cache.py │ │ └── long_text_bench │ │ │ └── images │ │ │ ├── image1.jpg │ │ │ ├── image2.jpg │ │ │ ├── image3.jpg │ │ │ └── image4.jpg │ ├── eval_pope.py │ ├── eval_science_qa.py │ ├── eval_textvqa.py │ ├── m4c_evaluator.py │ ├── model_lvis_for_meteor.py │ ├── model_lvis_for_ppl.py │ ├── model_lvis_multi_round_for_meteor.py │ ├── model_lvis_multi_round_for_ppl.py │ ├── model_vqa.py │ ├── model_vqa_loader.py │ ├── model_vqa_science.py │ ├── run_dynamic_llava.py │ └── visualize.py ├── eval │ ├── bench_test │ │ ├── llava_image_time_and_mem.py │ │ ├── llava_long_text_mem.py │ │ ├── llava_long_text_time_with_no_cache.py │ │ └── long_text_bench │ │ │ └── images │ │ │ ├── image1.jpg │ │ │ ├── image2.jpg │ │ │ ├── image3.jpg │ │ │ └── image4.jpg │ ├── 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_lvis_for_meteor.py │ ├── model_lvis_for_ppl.py │ ├── model_lvis_multi_round_for_meteor.py │ ├── model_lvis_multi_round_for_ppl.py │ ├── model_qa.py │ ├── model_vqa.py │ ├── model_vqa_loader.py │ ├── model_vqa_mmbench.py │ ├── model_vqa_science.py │ ├── model_vqa_science_for_ppl.py │ ├── qa_baseline_gpt35.py │ ├── run_llava.py │ ├── run_llava_for_ppl.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 │ ├── dynamic_llava_arch.py │ ├── dynamic_llava_builder.py │ ├── language_model │ │ ├── cache_utils.py │ │ ├── custom_transformer_layer.py │ │ ├── dynamic_llava_llama.py │ │ ├── dynamic_modeling_llama.py │ │ ├── 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 │ ├── dynamic_llava_trainer.py │ ├── llama_flash_attn_monkey_patch.py │ ├── llama_xformers_attn_monkey_patch.py │ ├── llava_trainer.py │ ├── train.py │ ├── train_mem.py │ ├── train_sparse.py │ └── train_xformers.py └── utils.py ├── playground └── data │ └── 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 ├── predict.py ├── pyproject.toml ├── run ├── dynamic_eval │ ├── eval_for_gqa.sh │ └── eval_for_vqav2.sh ├── train_dynamic_llava_13b.sh └── train_dynamic_llava_7b.sh └── 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 ├── sqa_eval_gather.sh ├── upload_pypi.sh └── v1_5 ├── eval ├── gqa.sh ├── llavabench.sh ├── mmbench.sh ├── mmbench_cn.sh ├── mme.sh ├── mmvet.sh ├── pope.sh ├── qbench.sh ├── qbench_zh.sh ├── seed.sh ├── sqa.sh ├── textvqa.sh ├── vizwiz.sh └── vqav2.sh ├── finetune.sh ├── finetune_lora.sh ├── finetune_task.sh ├── finetune_task_lora.sh └── pretrain.sh 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