CONVERSATIONAL AI
NLP
Llama 2: Open Foundation and Fine-Tuned Chat Models
July 18, 2023
Abstract
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 closedsource 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.
AUTHORS
Written by
Moya Chen
Marie-Anne Lachaux
Thibaut Lavril
Alan Schelten
Amjad Almahairi
Andrew Kuan
Andrew Poulton
Anthony Hartshorn
Artem Korenev
Aurelien Rodriguez
Binh Tang
Brian Fuller
Cynthia Gao
Dan Bikel
David Esiobu
Diana Liskovich
Xiaoqing Ellen Tan
Guillem Cucurull
Igor Molybog
Iliyan Zarov
Isabel Kloumann
Puxin Xu
Jenya Lee
Jeremy Fu
Jeremy Reizenstein
Jude Fernandes
Kalyan Saladi
Kevin Stone
Louis Martin
Lukas Blecher
Marcin Kardas
Melanie Kambadur
Naman Goyal
Nikolay Bashlykov
Peter Albert
Punit Singh Koura
Ranjan Subramanian
Robert Stojnic
Ross Taylor
Ruan Silva
Rui Hou
Saghar Hosseini
Sharan Narang
Soumya Batra
Thomas Scialom
Todor Mihaylov
Vedanuj Goswami
Viktor Kerkez
Wenyin Fu
Xavier Martinet
Yasmine Babaei
Yinghai Lu
Yixin Nie
Yuchen Zhang
Zheng Yan
Publisher
arxiv
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