QUANT_PRUNE_DISTILL Telegram 33
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

TL;DR в данной работе авторы предложили простой и дешевый эффективный по памяти способ дообучения квантованной модели для восстановления качества и под instruction finetuning.

https://teletype.in/@spiridon_sun_rotator/UJ6lixASXjN



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Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

TL;DR в данной работе авторы предложили простой и дешевый эффективный по памяти способ дообучения квантованной модели для восстановления качества и под instruction finetuning.

https://teletype.in/@spiridon_sun_rotator/UJ6lixASXjN

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