{"library":"cut-cross-entropy","type":"library","category":null,"description":"Cut Cross Entropy provides a highly memory-efficient implementation of the linear-cross-entropy loss function, primarily optimized for large language models and high-throughput inference scenarios. It is part of the vLLM project. The current version is 25.1.1, indicating a rapid development cycle, likely following a date-based or frequent release cadence, designed for NVIDIA GPUs.","language":"python","status":"active","version":"25.1.1","tags":["machine learning","deep learning","loss function","pytorch","gpu","cuda","vllm","llm"],"last_verified":"Sat May 23","install":[{"cmd":"pip install cut-cross-entropy torch>=2.0.0","imports":["from cut_cross_entropy import cut_cross_entropy","from cut_cross_entropy import cut_cross_entropy_reference"]}],"homepage":"https://vllm.readthedocs.io","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/cut-cross-entropy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":67.4,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cut-cross-entropy/compatibility"}}