LLaMA-3 evaluation benchmark results MMLU HumanEval GSM8K coding performance Meta AI

Abstract

Abstract: Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering. However, most powerful LLMs are closed-source or limited in their capability for languages other than English. In this technical report, we present Baichuan 2, a series of large-scale multilingual language models containing 7 billion and 13 billion parameters, trained from scratch, on 2.6 trillion tokens. Baichuan 2 matches or outperforms other open-source models of simila

Research Question

LLaMA-3 evaluation benchmark results MMLU HumanEval GSM8K coding performance Meta AI

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