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LLMBox: A Comprehensive Python Library for LLM Training and Evaluation
LLMBox is a comprehensive Python library designed for implementing Large Language Models, offering a unified training pipeline and extensive model evaluation capabilities. It provides a one-stop solution for both training and utilizing LLMs, emphasizing flexibility and efficiency. Developers can leverage its diverse training strategies and blazingly fast inference for their LLM projects.
Optimum: Accelerate Hugging Face Models with Hardware Optimization
Optimum is an extension of Hugging Face Transformers, Diffusers, TIMM, and Sentence-Transformers, designed to provide a suite of optimization tools. It enables maximum efficiency for training and running models on targeted hardware, simplifying the process for developers. This library helps users achieve significant performance gains across various machine learning workflows.