The Sequence #530: A Tech Deep Dive Into Llama 4
Major contributions across different areas such as pretraining, architecture and others.
The release of Llama 4 has dominated the AI headlines in recent days. Despite some questionable performance and criticism, Llama 4 brings some unquestionable technical innovations across different vectors. The Llama 4 series introduces three distinct models—Scout, Maverick, and Behemoth—designed for a range of use cases, from general-purpose reasoning to long-context and multimodal applications. This essay explores the technical contributions and innovations of the Llama 4 models, focusing on their architecture, training methodologies, and benchmarks.
Overview of the Llama 4 Herd
The Llama 4 family consists of three models tailored for different computational and application needs: