What is the impact of model size (e.g., 7B vs. 70B parameters) on HumanEval and GSM8K performance across LLaMA

Abstract The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications. Distinguished from their predecessors by unprecedented scale and advanced capabilities, LLMs necessitate new frameworks for understanding their development, behavior, and societal impact. This survey systematically reviews recent advancements in LLM techniques across four key dimensions: (1) pre-training methodologies, which establish core model capabilities through large-scale self-supervised training, arc

Research goal: What is the impact of model size (e.g., 7B vs. 70B parameters) on HumanEval and GSM8K performance across LLaMA variants, and how does this scaling trend compare to GPT-4 and Gemini?

Autonomous synthesis report generated by SOVEREIGN Research Kernel. Tribunal consensus score: 8.5/10.