├── .gitignore ├── README.md ├── efficientvit ├── __init__.py ├── apps │ ├── __init__.py │ ├── data_provider │ │ ├── __init__.py │ │ ├── augment │ │ │ ├── __init__.py │ │ │ ├── bbox.py │ │ │ └── color_aug.py │ │ ├── base.py │ │ └── random_resolution │ │ │ ├── __init__.py │ │ │ ├── _data_loader.py │ │ │ ├── _data_worker.py │ │ │ └── controller.py │ ├── setup.py │ ├── trainer │ │ ├── __init__.py │ │ ├── base.py │ │ └── run_config.py │ └── utils │ │ ├── __init__.py │ │ ├── dist.py │ │ ├── ema.py │ │ ├── export.py │ │ ├── init.py │ │ ├── lr.py │ │ ├── metric.py │ │ ├── misc.py │ │ └── opt.py ├── models │ ├── __init__.py │ ├── efficientvit │ │ ├── __init__.py │ │ ├── backbone.py │ │ ├── cls.py │ │ ├── sam.py │ │ └── seg.py │ ├── nn │ │ ├── __init__.py │ │ ├── act.py │ │ ├── drop.py │ │ ├── norm.py │ │ └── ops.py │ └── utils │ │ ├── __init__.py │ │ ├── list.py │ │ ├── network.py │ │ └── random.py └── sam_model_zoo.py ├── requirements.txt ├── single_pipeline.py ├── story_pipeline.py ├── utilis ├── download_videos.py └── organize_story.py └── videollava ├── __init__.py ├── constants.py ├── conversation.py ├── eval ├── eval_gpt_mmvet.py ├── eval_gpt_review.py ├── eval_gpt_review_bench.py ├── eval_gpt_review_visual.py ├── eval_gqa.py ├── eval_mmlu.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_qbench.py ├── model_vqa_science.py ├── qa_baseline_gpt35.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_mpt.py │ └── mpt │ │ ├── adapt_tokenizer.py │ │ ├── attention.py │ │ ├── blocks.py │ │ ├── configuration_mpt.py │ │ ├── custom_embedding.py │ │ ├── flash_attn_triton.py │ │ ├── hf_prefixlm_converter.py │ │ ├── meta_init_context.py │ │ ├── modeling_mpt.py │ │ ├── norm.py │ │ └── param_init_fns.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 ├── multimodal_projector │ └── builder.py └── utils.py ├── serve ├── __init__.py ├── cli.py ├── controller.py ├── gradio_utils.py ├── gradio_web_server.py ├── model_worker.py ├── register_worker.py ├── test_message.py └── utils.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 /.gitignore: -------------------------------------------------------------------------------- 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