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Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Papers citing "Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization"
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 Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models Jung Hwan Heo Jeonghoon Kim Beomseok Kwon Byeongwook Kim Se Jung Kwon Dongsoo Lee |
 Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ...Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom |
