LEMS and KFAC-SVD improve SVD compression of large language models
Zero-shot gains reach 4.8 points through 70B models, and KFAC-SVD lowers perplexity 15% on average.
2 stories, newest first · one card per story
Zero-shot gains reach 4.8 points through 70B models, and KFAC-SVD lowers perplexity 15% on average.
Net Utility allocates LoRA merge rank by utility and interference, beating uniform budgets on vision and language.
Today 840 readers · 1.1K views · 843 reads · all time 159K views