{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":84795,"databundleVersionId":10934030,"sourceType":"competition"}],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true},"papermill":{"default_parameters":{},"duration":22.341371,"end_time":"2024-12-11T03:22:13.479076","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2024-12-11T03:21:51.137705","version":"2.6.0"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!pip install --target=/kaggle/working vllm==0.7.2 bitsandbytes fsspec==2024.9.0 pre_commit==4.0.1 cfgv==3.4.0 dill==0.3.8","metadata":{"_uuid":"658165b3-1cf4-41ca-adf8-3d1cd6a39da4","_cell_guid":"a09d8181-658e-4b98-b845-034bdc729039","trusted":true,"collapsed":false,"execution":{"iopub.status.busy":"2025-02-06T10:44:31.824619Z","iopub.execute_input":"2025-02-06T10:44:31.824927Z"},"_kg_hide-output":true,"_kg_hide-input":false,"jupyter":{"outputs_hidden":false}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!rm -rf /kaggle/working/ray*","metadata":{"_uuid":"6d7cc5b9-da0c-445e-b5a2-c9b16f4c5ef2","_cell_guid":"5045ebb9-134b-47f1-bf7e-5a927407f60a","trusted":true,"collapsed":false,"execution":{"iopub.status.busy":"2025-02-06T10:16:54.689191Z","iopub.execute_input":"2025-02-06T10:16:54.689441Z","iopub.status.idle":"2025-02-06T10:16:54.979157Z"},"jupyter":{"outputs_hidden":false}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!pip install /kaggle/input/konwinski-prize/kaggle_evaluation/../kprize_setup/kprize-1.1.1-py3-none-any.whl --no-index --find-links /kaggle/input/konwinski-prize/kaggle_evaluation/../kprize_setup/pip_packages/kprize","metadata":{"_uuid":"4c64fba8-7369-408c-8dfc-3bf88c118c15","_cell_guid":"b66b2f1a-0d26-4524-a033-8422e0dc0467","trusted":true,"collapsed":false,"_kg_hide-output":true,"jupyter":{"outputs_hidden":false}},"outputs":[],"execution_count":null}]}