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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models\n[[Project Page](https://intellabs.github.io/multimodal_cognitive_ai/lvlm_interpret/)] [[Paper](https://arxiv.org/abs/2404.03118)]\n\n## Setup\n\n- Update submodules\n\n  `git submodule update --init --recursive`\n\n- Install dependencies\n\n  `pip install -r requirements.txt`\n\n\n## Usage\n\nStart the Gradio server:\n```\npython app.py --model_name_or_path Intel/llava-gemma-2b --load_8bit \n```\nor\n```\npython app.py --model_name_or_path llava-hf/llava-1.5-7b-hf --load_8bit\n```\n\nOptions:\n```\nusage: app.py [-h] [--model_name_or_path MODEL_NAME_OR_PATH] [--host HOST] [--port PORT] [--share] [--embed] [--load_4bit] [--load_8bit]\n\noptions:\n  -h, --help            show this help message and exit\n  --model_name_or_path MODEL_NAME_OR_PATH\n                        Model name or path to load the model from\n  --host HOST           Host to run the server on\n  --port PORT           Port to run the server on\n  --share               Whether to share the server on Gradio's public server\n  --embed               Whether to run the server in an iframe\n  --load_4bit           Whether to load the model in 4bit\n  --load_8bit           Whether to load the model in 8bit\n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintellabs%2Flvlm-interpret","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fintellabs%2Flvlm-interpret","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintellabs%2Flvlm-interpret/lists"}