graph G {
    compound="true"
    rankdir="TB"
    bgcolor="white"
    fontname="Tahoma"

    node [
        fixedsize="false"
        fontname="Tahoma"
        color="white"
        fillcolor="deepskyblue2"
        fontcolor="black"
        shape="box"
        style="filled"
        penwidth="1.0"
    ]
    edge [
        fontname="Arial"
        color="#00688b"
        fontcolor="black"
        fontsize="12"
        arrowsize="0.5"
        penwidth="1.0"
    ]




    "[models/config.py]" -- "[train.py]" [label=" 16 ", penwidth="10", color="#00688bFF"];
    "[data/collators.py]" -- "[train.py]" [label=" 10 ", penwidth="6", color="#00688bB7"];
    "[evaluation.py]" -- "[train.py]" [label=" 10 ", penwidth="6", color="#00688bB7"];
    "[models/vision_language_model.py]" -- "[models/config.py]" [label=" 9 ", penwidth="5", color="#00688bA5"];
    "[models/vision_language_model.py]" -- "[data/collators.py]" [label=" 9 ", penwidth="5", color="#00688bA5"];
    "[models/vision_language_model.py]" -- "[train.py]" [label=" 9 ", penwidth="5", color="#00688bA5"];
    "[data/datasets.py]" -- "[data/collators.py]" [label=" 8 ", penwidth="5", color="#00688bA5"];
    "[data/collators.py]" -- "[models/config.py]" [label=" 7 ", penwidth="4", color="#00688b93"];
    "[data/datasets.py]" -- "[train.py]" [label=" 7 ", penwidth="4", color="#00688b93"];
    "[generate.py]" -- "[models/vision_language_model.py]" [label=" 6 ", penwidth="3", color="#00688b82"];
    "[generate.py]" -- "[models/config.py]" [label=" 6 ", penwidth="3", color="#00688b82"];
    "[models/config.py]" -- "[evaluation.py]" [label=" 6 ", penwidth="3", color="#00688b82"];
    "[generate.py]" -- "[data/collators.py]" [label=" 6 ", penwidth="3", color="#00688b82"];
    "[generate.py]" -- "[train.py]" [label=" 5 ", penwidth="3", color="#00688b82"];
    "[models/vision_language_model.py]" -- "[data/datasets.py]" [label=" 5 ", penwidth="3", color="#00688b82"];
    "[nanoVLM.ipynb]" -- "[train.py]" [label=" 5 ", penwidth="3", color="#00688b82"];
    "[nanoVLM.ipynb]" -- "[models/config.py]" [label=" 5 ", penwidth="3", color="#00688b82"];
    "[eval/lmms_eval_wrapper.py]" -- "[evaluation.py]" [label=" 5 ", penwidth="3", color="#00688b82"];
    "[data/processors.py]" -- "[train.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[generate.py]" -- "[data/processors.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[eval/lmms_eval_wrapper.py]" -- "[train.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[nanoVLM.ipynb]" -- "[models/vision_language_model.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[nanoVLM.ipynb]" -- "[data/collators.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[generate.py]" -- "[nanoVLM.ipynb]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[data/processors.py]" -- "[models/config.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[data/processors.py]" -- "[data/collators.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[data/processors.py]" -- "[models/vision_language_model.py]" [label=" 4 ", penwidth="2", color="#00688b70"];
    "[models/utils.py]" -- "[generate.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[models/utils.py]" -- "[models/vision_language_model.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[models/utils.py]" -- "[data/processors.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[models/utils.py]" -- "[train.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[data/advanced_datasets.py]" -- "[train.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[generate.py]" -- "[data/datasets.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[models/utils.py]" -- "[models/config.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[data/processors.py]" -- "[nanoVLM.ipynb]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[eval/lmms_eval_wrapper.py]" -- "[models/config.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[data/datasets.py]" -- "[models/config.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[models/utils.py]" -- "[data/collators.py]" [label=" 3 ", penwidth="1", color="#00688b5E"];
    "[eval/__init__.py]" -- "[evaluation.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/__init__.py]" -- "[eval/lmms_eval_wrapper.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/__init__.py]" -- "[train.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/benchmark-inference.py]" -- "[eval/__init__.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[data/data_utils.py]" -- "[models/config.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/benchmark_suite.py]" -- "[eval/lmms_eval_wrapper.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/benchmark_suite.py]" -- "[evaluation.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/measure_vram.py]" -- "[eval/lmms_eval_wrapper.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[nanoVLM.ipynb]" -- "[data/datasets.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[data/datasets.py]" -- "[data/advanced_datasets.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/benchmark-inference.py]" -- "[eval/lmms_eval_wrapper.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];
    "[eval/measure_vram.py]" -- "[eval/__init__.py]" [label=" 2 ", penwidth="1", color="#00688b5E"];

}