ExLlamaV2 vs DeepSpeed
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ExLlamaV2
ExLlamaV2 is a specialized machine learning engine designed to accelerate the processing of Large Language Models like LLaMA. It’s notable for its speed and efficiency, particularly when utilizing GPU hardware. The project emphasizes local, offline inference and supports quantization techniques. ExLlamaV2 is primarily beneficial for users and developers working with LLaMA models who require rapid...
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DeepSpeed
Large-model training is the central purpose of DeepSpeed, an open-source deep learning optimization library developed by Microsoft. It supports distributed execution so workloads can use multiple GPUs and machines. Its ZeRO approach reduces duplicated training state across devices, helping make better use of available memory when model training exceeds the capacity of a single GPU.
Mixed-precisio...
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