Smarter Models Aren't Always Safer: A Deep Dive into Llama-3.1
In our previous Llama-generation report, we found that the larger Llama-3.1-70B model had lower safety than the smaller Llama-3.1-8B. This article explores the relationship between model size and safety, shedding light on why bigger models aren't always safer.
Introduction
In our previous Llama-generation report, we analyzed the safety and advancements of Llama-2, Llama-3, and Llama-3.1. One key finding that emerged was the surprising result that the larger Llama-3.1-70B model exhibited lower safety compared to its smaller counterpart, Llama-3.1-8B. In this article, we will take a deep dive into the safety of Llama-3.1, exploring the relationship between model size and safety. Our goal is to shed light on why larger, smarter models are not always the safest, and what this means for the future of AI safety.
Llama-3.1: Larger Models Are Smarter
According to Meta’s official reports, the Llama-3.1 models show significant improvements in benchmark scores as the parameter size increases.
