├── Image_Purifier ├── LICENSE ├── configs │ └── diffpure.yml ├── ddpm │ ├── LICENSE_UNET_DDPM │ └── unet_ddpm.py ├── guided_diffusion │ ├── LICENSE_GUIDED_DIFFUSION │ ├── __init__.py │ ├── dist_util.py │ ├── fp16_util.py │ ├── gaussian_diffusion.py │ ├── image_datasets.py │ ├── logger.py │ ├── losses.py │ ├── nn.py │ ├── resample.py │ ├── respace.py │ ├── script_util.py │ ├── train_util.py │ └── unet.py ├── image_purifier.py ├── runners │ └── diffpure_guided.py ├── score_sde │ ├── LICENSE_SCORE_SDE │ ├── losses.py │ ├── models │ │ ├── __init__.py │ │ ├── ddpm.py │ │ ├── ema.py │ │ ├── layers.py │ │ ├── layerspp.py │ │ ├── ncsnpp.py │ │ ├── ncsnv2.py │ │ ├── normalization.py │ │ ├── up_or_down_sampling.py │ │ └── utils.py │ ├── op │ │ ├── __init__.py │ │ ├── fused_act.py │ │ ├── fused_bias_act.cpp │ │ ├── fused_bias_act_kernel.cu │ │ ├── upfirdn2d.cpp │ │ ├── upfirdn2d.py │ │ └── upfirdn2d_kernel.cu │ ├── sampling.py │ └── sde_lib.py └── utils.py ├── LLaVA ├── .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 ├── 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 │ │ ├── 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 ├── 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 └── 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 ├── README.md ├── framework.jpg ├── generator.jpg ├── ppo_blue_team.py 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