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dReLU Sparsification: Recovering LLM Performance with 150B Token Pretraining

dReLU Sparsification: Recovering LLM Performance with 150B Token Pretraining

via HackernoonLanguage Models (dot tech)

Learn how dReLU-based ReLUfication restores model capabilities for Mistral-7B and Mixtral-47B. Discover the high-quality pretraining datasets and mixture ratios used to achieve elite activation sparsity.

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