MGAA allocates low-rank compression budget by sublayer input-output cosine similarity and by matrix energy retention, improving compressed LLM perplexity and reasoning accuracy.
Gptq: Ac- curate post-training quantization for generative pre-trained trans- formers,
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MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs
MGAA allocates low-rank compression budget by sublayer input-output cosine similarity and by matrix energy retention, improving compressed LLM perplexity and reasoning accuracy.