Llama 2: Open Foundation and Fine-Tuned Chat Models

In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may be a suitable substitute for closed-source models.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases.
• 2 Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may be a suitable substitute for closed-source models.
• 3 We provide a detailed description of our approach to fine-tuning and safety improvements of Llama 2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs.

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

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