LLM Compression Rethinks Granularity
Researchers have developed a new approach to compressing Large Language Models (LLMs) by rethinking granularity in replacement-based methods. This technique involves removing entire architectural components.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Compression. Authors: Elia Cunegatti, Marcus Vukojevic, Erik Nielsen, Giovanni Iacca Abstract: Post-training compression of Large Language Models (LLMs) removes entire architectural components, either deleting th...”
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