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  "title_listed": "Llama 2: Open Foundation and Fine-Tuned Chat Models",
  "keywords": "Llama 2,开源,微调",
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  "url": "https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/",
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  "notes": "Llama 2开源基础与微调模型",
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  "title": "Llama 2: Open Foundation and Fine-Tuned Chat Models | Research - AI at Meta",
  "body_markdown": "Products\nAI Research\nResources\nAbout\nAI Developers\nTry Muse\nCONVERSATIONAL AI\nNLP\nLlama 2: Open Foundation and Fine-Tuned Chat Models\nJuly 18, 2023\nAbstract\nIn 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\ncontribute to the responsible development of LLMs.\nDownload the Paper\nAUTHORS\nWritten by\nHugo Touvron\nLouis Martin\nKevin Stone\nPeter Albert\nAmjad Almahairi\nYasmine Babaei\nNikolay Bashlykov\nSoumya Batra\nPraj Bhargava\nShruti Bhosale\nDan Bikel\nLukas Blecher\nCristian Canton Ferrer\nMoya Chen\nGuillem Cucurull\nDavid Esiobu\nJude Fernandes\nJeremy Fu\nWenyin Fu\nBrian Fuller\nCynthia Gao\nVedanuj Goswami\nNaman Goyal\nAnthony Hartshorn\nSaghar Hosseini\nRui Hou\nHakan Inan\nMarcin Kardas\nViktor Kerkez\nMadian Khabsa\nIsabel Kloumann\nArtem Korenev\nPunit Singh Koura\nMarie-Anne Lachaux\nThibaut Lavril\nJenya Lee\nDiana Liskovich\nYinghai Lu\nYuning Mao\nXavier Martinet\nTodor Mihaylov\nPushkar Mishra\nIgor Molybog\nYixin Nie\nAndrew Poulton\nJeremy Reizenstein\nRashi Rungta\nKalyan Saladi\nAlan Schelten\nRuan Silva\nEric Michael Smith\nRanjan Subramanian\nXiaoqing Ellen Tan\nBinh Tang\nRoss Taylor\nAdina Williams\nAndrew Kuan\nPuxin Xu\nZheng Yan\nIliyan Zarov\nYuchen Zhang\nAngela Fan\nMelanie Kambadur\nSharan Narang\nAurelien Rodriguez\nRobert Stojnic\nSergey Edunov\nThomas Scialom\nPublisher\narxiv\nResearch Topics\nConversational AI\nNatural Language Processing (NLP)\nRelated Publications\nSeptember 24, 2026\nREINFORCEMENT LEARNING\nRESEARCH\nMaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning\nSourabh Kulkarni\n,\nKsheeraj Sai Vepuri\n,\nBasar Demir\n,\nJason Bohrer\n,\nEmily Shen\n,\nJianfa Chen\n,\nNan Jiang\n,\nAnkit Jain\n,\nHarihar Subramanyam\n,\nMannat Singh\n,\nChirag Nagpal\nSeptember 24, 2026\nRead the Paper\nJuly 29, 2026\nREINFORCEMENT LEARNING\nNLP\nReinforcement Learning for Code Optimization\nPierre Chambon\n,\nKunhao Zheng\n,\nJuliette Decugis\n,\nBenoît Sagot\n,\nGabriel Synnaeve\nJuly 29, 2026\nRead the Paper\nJuly 17, 2026\nCONVERSATIONAL AI\nREINFORCEMENT LEARNING\nLearning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning\nZilin Xiao\n,\nQi Ma\n,\nJason Chen\n,\nXintao Chen\n,\nAvinash Atreya\n,\nHanjie Chen\n,\nVicente Ordonez\nJuly 17, 2026\nRead the Paper\nJune 05, 2026\nCONVERSATIONAL AI\nRANKING AND RECOMMENDATIONS\nSuperintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval\nZeyu Yang\n,\nQi Ma\n,\nJason Chen\n,\nAnshumali Shrivastava\nJune 05, 2026\nRead the Paper\nSee All Papers\nHelp Us Pioneer The Future of AI\nWe share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.\nJoin our Team\nMeta AI\nAssistant\nMedia Generation\nVibes\nMuse\nAgent\nAI agents explained\nWhat is agentic AI\nAgentic AI examples\nAI Research\nOverview\nProjects\nResources & tools\nPublications\nGitHub\nResources\nBlog\nLearning Hub\nDemos\nAbout\nOverview\nOpen Source\nCareers\nMeta AI\nMeta AI\nAssistant\nMedia Generation\nVibes\nMuse\nMuse\nAgent\nAI agents explained\nWhat is agentic AI\nAgentic AI examples\nAI Research\nAI Research\nOverview\nProjects\nResources & tools\nPublications\nGitHub\nResources\nBlog\nLearning Hub\nDemos\nAbout\nAbout\nOverview\nOpen Source\nCareers\nPrivacy Policy\nTerms\nCookies\nMeta © 2026",
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