Liger-Kernel is an open-sourced library designed to enhance GPU efficiency for training large language models (LLMs), offering 20% improved training throughput and 60% reduced memory usage with minimal code changes. Since its release in August 2024, it has gained significant traction and is integrated with major training

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What are the inefficiencies in LLM training?GPU memory access overhead

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