Running a Kaggle Competition Project through a server on terminal

I am looking to run the 3rd place solution to Kaggle's Lyft Motion Prediction for Autonomous Vehicles on a server I have access to. After cloning the repository (https://github.com/asanakoy/kaggle-lyft-motion-prediction-av) into my directory, I began following the steps outlined on the Read.Me file on GitHub. I installed one of the dependencies listed (pip install -r requirements.txt) yet I cannot proceed further than this when I tried to apply a patch to l5kit with ./apply_l5kit_patch.sh. Some "possible" issues include the set up of the path for the prerendered dataset in src/1st_level/config.py and the set up of the path where the predicts of the 1st level models are saved in src/2nd_level/config.py. I am looking for someone with strong data science/linux/git knowledge who can assist me to setting up my environment correctly so I can run and test the prediction models. The link to the main repository is shown above and I have attached screenshots of the errors I am seeing on the terminal. The competition page is linked here: https://www.kaggle.com/competitions/lyft-motion-prediction-autonomous-vehicles for any further reference. If there is more information needed I can provide it.