Nolan Clement

The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning

We study how down-scaling large language model (LLM) size impacts LLM capabilities. We begin by measuring the effects of weight pruning – a popular technique for reducing model size – on the two abilities of LLMs: (a) recalling facts presented during pre-training and (b) processing information prese…