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Vadim Karpenko
jrell
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MrDragonFox/mOrpheus_3B-1Base_early_preview
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HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
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š¢ New Research Alert: Making Language Models Smaller & Smarter! Thrilled to share the latest technical report demonstrating how to reduce language model parameters by 77% while maintaining performance. The secret? Grouped pointwise convolutions. Yes. We brought a method from computer vision to the transformers arena. š Key Findings: ⢠77% parameter reduction. ⢠Maintained model capabilities. ⢠Improved generalization. Paper: https://www.researchgate.net/publication/388835829_SAVING_77_OF_THE_PARAMETERS_IN_LARGE_LANGUAGE_MODELS_TECHNICAL_REPORT Code: https://github.com/joaopauloschuler/less-parameters-llm
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FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B
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elinas/chronos-13b
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