The Llama 2 13B model is a mid-sized variant in Meta's Llama 2 family of large language models, featuring 13 billion parameters. It utilizes an optimized transformer architecture and was trained on 2 trillion tokens from public sources. The model incorporates supervised fine-tuning and reinforcement learning with human feedback, making it suitable for various NLP tasks, including text generation and interactive AI systems. It has demonstrated competitive performance against both open-source and closed-source models in terms of helpfulness and safety. The model is optimized for commercial and research applications in English and is accessible through the LLAMA 2 Community License Agreement .