preprint
Open access
Llama 2: Open Foundation and Fine-Tuned Chat Models
Research footprint
At a glance
- Citations
- 2657
- References
- 0
- Comments
- 0
Paper overview
Öz
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 fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. 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. 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.
Record transparency
Publication details
- DOI
- 10.48550/arxiv.2307.09288
- OpenAlex
- W4384918448
- Document type
- preprint
- Language
- EN
- Source
- arXiv (Cornell University)
- Last metadata update
Comments
Oturum Açın to join the discussion.