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cs.LG2024★ 1 cited
Quantization of Large Language Models with an Overdetermined Basis
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov +4
In this paper, we introduce an algorithm for data quantization based on the principles of Kashin representation. This approach hinges on decomposing any given vector, matrix, or te…
cs.CL2024★ 1 cited
LoTR: Low Tensor Rank Weight Adaptation
Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev +2
In this paper we generalize and extend an idea of low-rank adaptation (LoRA) of large language models (LLMs) based on Transformer architecture. Widely used LoRA-like methods of fin…