├── LICENSE ├── LLaVA-Hound-DPO ├── .gitignore ├── README.md ├── chatuniv │ ├── ChatUniVi │ │ ├── __init__.py │ │ ├── config │ │ │ ├── __init__.py │ │ │ ├── dataset_config.py │ │ │ └── model_config.py │ │ ├── constants.py │ │ ├── conversation.py │ │ ├── demo.py │ │ ├── eval │ │ │ ├── evaluate │ │ │ │ ├── evaluate_benchmark_1_correctness.py │ │ │ │ ├── evaluate_benchmark_2_detailed_orientation.py │ │ │ │ ├── evaluate_benchmark_3_context.py │ │ │ │ ├── evaluate_benchmark_4_temporal.py │ │ │ │ ├── evaluate_benchmark_5_consistency.py │ │ │ │ ├── evaluate_gpt_review_visual.py │ │ │ │ ├── evaluate_science_qa.py │ │ │ │ ├── evaluate_video_qa.py │ │ │ │ └── summarize_gpt_review.py │ │ │ ├── model_coco_vqa.py │ │ │ ├── model_video_consistency.py │ │ │ ├── model_video_general.py │ │ │ ├── model_video_qa.py │ │ │ ├── model_vqa.py │ │ │ └── model_vqa_scienceqa.py │ │ ├── mm_utils.py │ │ ├── model │ │ │ ├── __init__.py │ │ │ ├── apply_delta.py │ │ │ ├── arch.py │ │ │ ├── builder.py │ │ │ ├── cluster.py │ │ │ ├── consolidate.py │ │ │ ├── dataloader.py │ │ │ ├── language_model │ │ │ │ └── llama.py │ │ │ ├── make_delta.py │ │ │ └── multimodal_encoder │ │ │ │ ├── builder.py │ │ │ │ ├── clip_encoder.py │ │ │ │ ├── eva_encoder.py │ │ │ │ ├── eva_vit.py │ │ │ │ ├── processor.py │ │ │ │ └── utils.py │ │ ├── train │ │ │ ├── llama_flash_attn_monkey_patch.py │ │ │ ├── train.py │ │ │ ├── train_mem.py │ │ │ └── trainer.py │ │ └── utils.py │ ├── README.md │ ├── chatuniv_utils.py │ ├── run_test │ │ ├── eval │ │ │ ├── eval_official_qa.py │ │ │ ├── eval_official_zeroshot_qa.sh │ │ │ ├── eval_qa.py │ │ │ ├── eval_qa.sh │ │ │ └── eval_zeroshot_qa.sh │ │ ├── inference │ │ │ ├── chatgpt_inference.py │ │ │ ├── debug_inference_test_qa.sh │ │ │ ├── inference.py │ │ │ ├── inference_test_qa.py │ │ │ ├── inference_test_qa.sh │ │ │ └── utils.py │ │ ├── pipeline │ │ │ ├── indomain_test_pipeline.sh │ │ │ ├── outdomain_official_test_pipeline.sh │ │ │ └── outdomain_test_pipeline.sh │ │ └── utils.py │ └── set_var.sh ├── llama_vid │ ├── README.md │ ├── llamavid │ │ ├── __init__.py │ │ ├── constants.py │ │ ├── conversation.py │ │ ├── eval │ │ │ ├── eval_activitynet_qa.py │ │ │ ├── eval_msvd_qa.py │ │ │ ├── eval_pope.py │ │ │ ├── eval_science_qa.py │ │ │ ├── eval_textvqa.py │ │ │ ├── evaluate_benchmark_1_correctness.py │ │ │ ├── evaluate_benchmark_2_detailed_orientation.py │ │ │ ├── evaluate_benchmark_3_context.py │ │ │ ├── evaluate_benchmark_4_temporal.py │ │ │ ├── evaluate_benchmark_5_consistency.py │ │ │ ├── m4c_evaluator.py │ │ │ ├── model_activitynet_qa.py │ │ │ ├── model_msvd_qa.py │ │ │ ├── model_video_chatgpt_consistency.py │ │ │ ├── model_video_chatgpt_general.py │ │ │ ├── model_vqa.py │ │ │ ├── model_vqa_loader.py │ │ │ ├── model_vqa_mmbench.py │ │ │ ├── model_vqa_science.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 │ │ ├── model │ │ │ ├── __init__.py │ │ │ ├── builder.py │ │ │ ├── language_model │ │ │ │ └── llava_llama_vid.py │ │ │ ├── llamavid_arch.py │ │ │ ├── multimodal_encoder │ │ │ │ ├── builder.py │ │ │ │ ├── clip_encoder.py │ │ │ │ └── eva_vit.py │ │ │ ├── multimodal_projector │ │ │ │ └── builder.py │ │ │ └── qformer.py │ │ ├── serve │ │ │ ├── __init__.py │ │ │ ├── cli.py │ │ │ ├── controller.py │ │ │ ├── examples │ │ │ │ ├── Avatar.png │ │ │ │ ├── Avengers.jpg │ │ │ │ ├── Forrest_Gump.jpg │ │ │ │ ├── Interstellar.jpg │ │ │ │ ├── Titanic.jpg │ │ │ │ ├── extreme_ironing.jpg │ │ │ │ └── waterview.jpg │ │ │ ├── gradio_web_server.py │ │ │ ├── model_worker.py │ │ │ ├── model_worker_short.py │ │ │ ├── register_worker.py │ │ │ └── run_llamavid_movie.py │ │ └── train │ │ │ ├── llama_flash_attn_monkey_patch.py │ │ │ ├── llava_trainer.py │ │ │ ├── train.py │ │ │ └── train_mem.py │ ├── llamavid_utils.py │ ├── run_test │ │ ├── eval │ │ │ ├── eval_official_qa.py │ │ │ ├── eval_official_zeroshot_qa.sh │ │ │ ├── eval_qa.py │ │ │ ├── eval_qa.sh │ │ │ └── eval_zeroshot_qa.sh │ │ ├── inference │ │ │ ├── chatgpt_inference.py │ │ │ ├── debug_inference_test_qa.sh │ │ │ ├── inference.py │ │ │ ├── inference_test_qa.py │ │ │ ├── inference_test_qa.sh │ │ │ └── utils.py │ │ ├── pipeline │ │ │ ├── indomain_test_pipeline.sh │ │ │ ├── outdomain_official_test_pipeline.sh │ │ │ └── outdomain_test_pipeline.sh │ │ └── utils.py │ ├── set_var.sh │ └── set_var_13b.sh ├── llava_hound_dpo │ ├── dpo_scripts │ │ ├── README.md │ │ ├── pty.sh │ │ ├── run_dpo.py │ │ ├── test.ipynb │ │ ├── train_dpo.sh │ │ ├── train_dpo_multi.sh │ │ └── utils.py │ ├── eval │ │ ├── eval_ranking.sh │ │ └── gpt4v_eval.py │ ├── examples │ │ └── sample_msrvtt.mp4 │ ├── inference │ │ ├── chatgpt_inference.py │ │ ├── inference.py │ │ ├── inference_dpo_reward.py │ │ ├── inference_utils.py │ │ ├── run_inference_video_caption.py │ │ ├── run_qa_inference.py │ │ └── utils.py │ ├── llava │ │ ├── __init__.py │ │ ├── constants.py │ │ ├── conversation.py │ │ ├── eval │ │ │ ├── benchmark_core │ │ │ │ ├── benchmarks │ │ │ │ │ ├── chair.py │ │ │ │ │ ├── chair_coverage.py │ │ │ │ │ ├── live_question_generation.py │ │ │ │ │ ├── live_vqa_eval.py │ │ │ │ │ ├── mme_eval.py │ │ │ │ │ └── refined_chair.py │ │ │ │ ├── eval_live_vqa.py │ │ │ │ ├── eval_video_chair.py │ │ │ │ ├── model_live_vqa.py │ │ │ │ ├── model_live_vqa_dist.py │ │ │ │ ├── model_video_chair.py │ │ │ │ ├── model_video_chair_dist.py │ │ │ │ ├── prompts │ │ │ │ │ ├── VQA_generate │ │ │ │ │ │ ├── Live │ │ │ │ │ │ │ ├── noquestion.txt │ │ │ │ │ │ │ └── yesquestion.txt │ │ │ │ │ │ └── QAprompts │ │ │ │ │ │ │ └── yes_no_questions.txt │ │ │ │ │ ├── cap2info.txt │ │ │ │ │ ├── cap2objs.txt │ │ │ │ │ ├── cap_mention.txt │ │ │ │ │ ├── object_coverage.txt │ │ │ │ │ └── refine_json.txt │ │ │ │ ├── prompts_old │ │ │ │ │ ├── VQA_generate │ │ │ │ │ │ ├── Live │ │ │ │ │ │ │ ├── noquestion.txt │ │ │ │ │ │ │ └── yesquestion.txt │ │ │ │ │ │ └── QAprompts │ │ │ │ │ │ │ └── yes_no_questions.txt │ │ │ │ │ ├── cap2info.txt │ │ │ │ │ ├── cap2objs.txt │ │ │ │ │ ├── cap_mention.txt │ │ │ │ │ └── object_coverage.txt │ │ │ │ └── utils │ │ │ │ │ ├── gt_objs_extract.py │ │ │ │ │ └── info_extract_from_caption.py │ │ │ ├── eval_gpt_mmvet.py │ │ │ ├── eval_gpt_review.py │ │ │ ├── eval_gpt_review_bench.py │ │ │ ├── eval_gpt_review_visual.py │ │ │ ├── eval_gqa.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.py │ │ │ ├── run_llava.py │ │ │ ├── summarize_gpt_review.py │ │ │ ├── video │ │ │ │ ├── eval_benchmark_1_correctness.py │ │ │ │ ├── eval_benchmark_2_detailed_orientation.py │ │ │ │ ├── eval_benchmark_3_context.py │ │ │ │ ├── eval_benchmark_4_temporal.py │ │ │ │ ├── eval_benchmark_5_consistency.py │ │ │ │ ├── eval_video_qa.py │ │ │ │ ├── run_inference_benchmark_consistency.py │ │ │ │ ├── run_inference_benchmark_general.py │ │ │ │ ├── run_inference_video_qa.py │ │ │ │ └── run_inference_video_qa_act.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 │ │ │ ├── language_model │ │ │ │ └── llava_llama.py │ │ │ ├── llava_arch.py │ │ │ ├── make_delta.py │ │ │ ├── multimodal_encoder │ │ │ │ ├── builder.py │ │ │ │ ├── clip_encoder.py │ │ │ │ ├── languagebind │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── audio │ │ │ │ │ │ ├── configuration_audio.py │ │ │ │ │ │ ├── modeling_audio.py │ │ │ │ │ │ ├── processing_audio.py │ │ │ │ │ │ └── tokenization_audio.py │ │ │ │ │ ├── depth │ │ │ │ │ │ ├── configuration_depth.py │ │ │ │ │ │ ├── modeling_depth.py │ │ │ │ │ │ ├── processing_depth.py │ │ │ │ │ │ └── tokenization_depth.py │ │ │ │ │ ├── image │ │ │ │ │ │ ├── configuration_image.py │ │ │ │ │ │ ├── modeling_image.py │ │ │ │ │ │ ├── processing_image.py │ │ │ │ │ │ └── tokenization_image.py │ │ │ │ │ ├── thermal │ │ │ │ │ │ ├── configuration_thermal.py │ │ │ │ │ │ ├── modeling_thermal.py │ │ │ │ │ │ ├── processing_thermal.py │ │ │ │ │ │ └── tokenization_thermal.py │ │ │ │ │ └── video │ │ │ │ │ │ ├── configuration_video.py │ │ │ │ │ │ ├── modeling_video.py │ │ │ │ │ │ ├── processing_video.py │ │ │ │ │ │ └── tokenization_video.py │ │ │ │ └── mae_encoder.py │ │ │ ├── multimodal_projector │ │ │ │ └── builder.py │ │ │ └── utils.py │ │ ├── serve │ │ │ ├── __init__.py │ │ │ ├── cli.py │ │ │ ├── controller.py │ │ │ ├── examples │ │ │ │ ├── desert.jpg │ │ │ │ ├── extreme_ironing.jpg │ │ │ │ ├── sample_demo_1.mp4 │ │ │ │ ├── sample_demo_13.mp4 │ │ │ │ ├── sample_demo_22.mp4 │ │ │ │ ├── sample_demo_3.mp4 │ │ │ │ ├── sample_demo_8.mp4 │ │ │ │ ├── sample_demo_9.mp4 │ │ │ │ ├── sample_img_13.png │ │ │ │ ├── sample_img_22.png │ │ │ │ ├── sample_img_8.png │ │ │ │ └── waterview.jpg │ │ │ ├── gradio_utils.py │ │ │ ├── gradio_web_server.py │ │ │ ├── model_worker.py │ │ │ ├── register_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 │ ├── serve │ │ ├── api.py │ │ ├── client.py │ │ ├── launch_service.sh │ │ ├── server.py │ │ ├── single_service.sh │ │ └── start_server.sh │ ├── sft_scripts │ │ ├── README.md │ │ ├── pretrain.sh │ │ ├── video_sft.sh │ │ ├── video_sft_qa_240k.sh │ │ └── video_sft_with_image_instruction_pretrain.sh │ ├── test │ │ ├── README.md │ │ ├── eval │ │ │ ├── eval_official_qa.py │ │ │ ├── eval_official_zeroshot_qa.sh │ │ │ ├── eval_qa.py │ │ │ └── eval_qa.sh │ │ ├── inference │ │ │ ├── inference_test_qa.py │ │ │ ├── inference_test_qa.sh │ │ │ └── inference_train_qa.sh │ │ ├── pipeline │ │ │ ├── indomain_test_pipeline.sh │ │ │ ├── outdomain_official_test_pipeline.sh │ │ │ ├── outdomain_test_pipeline.sh │ │ │ └── test_pipeline.sh │ │ └── preprocess │ │ │ ├── chatgpt_qa.py │ │ │ ├── chatgpt_qa.sh │ │ │ ├── preprocess.sh │ │ │ ├── process_gpt_qa.py │ │ │ └── test_process_gpt_qa.sh │ └── trl │ │ ├── __init__.py │ │ ├── core.py │ │ ├── environment │ │ ├── __init__.py │ │ └── base_environment.py │ │ ├── extras │ │ ├── __init__.py │ │ ├── best_of_n_sampler.py │ │ └── dataset_formatting.py │ │ ├── import_utils.py │ │ ├── models │ │ ├── __init__.py │ │ ├── modeling_base.py │ │ ├── modeling_sd_base.py │ │ ├── modeling_value_head.py │ │ └── utils.py │ │ └── trainer │ │ ├── __init__.py │ │ ├── base.py │ │ ├── ddpo_config.py │ │ ├── ddpo_trainer.py │ │ ├── dpo_trainer.py │ │ ├── iterative_sft_trainer.py │ │ ├── model_config.py │ │ ├── ppo_config.py │ │ ├── ppo_trainer.py │ │ ├── reward_config.py │ │ ├── reward_trainer.py │ │ ├── sft_trainer.py │ │ └── utils.py ├── setup │ ├── hf_utils.py │ ├── install_hf.sh │ ├── requirements.txt │ ├── set_path.sh │ ├── setup_env.sh │ ├── setup_image_data.sh │ ├── setup_pretrain_data.sh │ ├── setup_test_data.py │ ├── setup_test_data.sh │ └── setup_train_data.sh └── video_chatgpt │ ├── README.md │ ├── run_test │ ├── eval │ │ ├── eval_official_qa.py │ │ ├── eval_official_zeroshot_qa.sh │ │ ├── eval_qa.py │ │ ├── eval_qa.sh │ │ └── eval_zeroshot_qa.sh │ ├── inference │ │ ├── chatgpt_inference.py │ │ ├── debug_inference_test_qa.sh │ │ ├── inference.py │ │ ├── inference_test_qa.py │ │ ├── inference_test_qa.sh │ │ └── utils.py │ ├── pipeline │ │ ├── indomain_test_pipeline.sh │ │ ├── outdomain_official_test_pipeline.sh │ │ └── outdomain_test_pipeline.sh │ └── utils.py │ ├── set_var.sh │ ├── videochatgpt │ ├── __init__.py │ ├── consolidate.py │ ├── make_delta.py │ ├── utils.py │ └── video_chatgpt.py │ └── videochatgpt_utils.py ├── README.md ├── assets ├── data_case.png ├── framework.png ├── hallu.png ├── logo.png ├── teaser.png └── temp.txt └── gen_data ├── gen_chosen_rejected ├── make_data_duotu.py ├── make_data_ping.py └── make_data_pip.py └── gen_instruction ├── make_data_pics_in_pics.ipynb ├── make_data_pingtu_v1.ipynb └── mix_data.ipynb /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Liuziyu77/MIA-DPO/HEAD/LICENSE -------------------------------------------------------------------------------- /LLaVA-Hound-DPO/.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Liuziyu77/MIA-DPO/HEAD/LLaVA-Hound-DPO/.gitignore 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