├── .gitignore ├── .gitmodules ├── LICENSE ├── README.md ├── assets └── banner.png ├── monkey-verifier ├── .gitignore ├── LICENSE ├── llava_setup │ ├── LLaVA │ │ ├── .github │ │ │ └── ISSUE_TEMPLATE │ │ │ │ ├── 1-usage.yaml │ │ │ │ ├── 2-feature-request.yaml │ │ │ │ ├── 3-question.yaml │ │ │ │ └── 4-discussion.yaml │ │ ├── .gitignore │ │ ├── LICENSE │ │ ├── README.md │ │ ├── docs │ │ │ ├── Data.md │ │ │ ├── LLaVA_Bench.md │ │ │ ├── LLaVA_from_LLaMA2.md │ │ │ ├── LoRA.md │ │ │ ├── MODEL_ZOO.md │ │ │ └── Release_Notes.md │ │ ├── images │ │ │ ├── llava_example_cmp.png │ │ │ └── llava_logo.png │ │ ├── llava │ │ │ ├── __init__.py │ │ │ ├── constants.py │ │ │ ├── conversation.py │ │ │ ├── eval │ │ │ │ ├── README.md │ │ │ │ ├── eval_gpt_review.py │ │ │ │ ├── eval_gpt_review_bench.py │ │ │ │ ├── eval_gpt_review_visual.py │ │ │ │ ├── eval_science_qa.py │ │ │ │ ├── eval_science_qa_gpt4.py │ │ │ │ ├── eval_science_qa_gpt4_requery.py │ │ │ │ ├── generate_webpage_data_from_table.py │ │ │ │ ├── model_qa.py │ │ │ │ ├── model_vqa.py │ │ │ │ ├── model_vqa_ds.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 │ │ │ │ ├── language_model │ │ │ │ │ ├── configuration_llama.py │ │ │ │ │ ├── llama_with_flash_attention.py │ │ │ │ │ ├── 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 │ │ │ │ └── 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 │ │ │ │ └── test_message.py │ │ │ ├── train │ │ │ │ ├── llama_flash_attn_monkey_patch.py │ │ │ │ ├── llava_trainer.py │ │ │ │ ├── train.py │ │ │ │ └── train_mem.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 │ │ ├── pyproject.toml │ │ └── scripts │ │ │ ├── convert_sqa_to_llava.py │ │ │ ├── convert_sqa_to_llava_base_prompt.py │ │ │ ├── extract_mm_projector.py │ │ │ ├── finetune.sh │ │ │ ├── finetune_lora.sh │ │ │ ├── merge_lora_weights.py │ │ │ ├── pretrain.sh │ │ │ ├── sqa_eval_batch.sh │ │ │ └── sqa_eval_gather.sh │ ├── README.md │ └── fix_llava_padding.patch ├── requirements.txt └── src │ ├── action_processing.py │ ├── data_utils │ ├── common_utils.py │ ├── constants.py │ └── data_utils_rm.py │ ├── infer_server.py │ ├── lora_utils.py │ ├── models │ ├── 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