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In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2 billion to 27 billion parameters.
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Training verifiers to solve math word problems
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{ \{ Zero-offload } \} : Democratizing { \{ billion-scale } \} model training
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Roformer: Enhanced transformer with rotary position embedding
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Ethical and social risks of harm from language models, 2021
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Model evaluation for extreme risks, 2023
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Intercode: Standardizing and benchmarking interactive coding with execution feedback, 2023
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Lmsys-chat-1m: A large-scale real-world llm conversation dataset
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Y. Xu, H. Lee, D. Chen, B. A. Hechtman, Y. Huang, R. Joshi, M. Krikun, D. Lepikhin, A. Ly, M. Maggioni, R. Pang, N. Shazeer, S. Wang, T. Wang, Y. Wu, and Z. Chen · 2021
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Pathways: Asynchronous distributed dataflow for ml, 2022
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Quantifying memorization across neural language models
N. Carlini, D. Ippolito, M. Jagielski, K. Lee, F. Tramer, and C. Zhang · 2022
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Training compute-optimal large language models
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Preventing verbatim memorization in language models gives a false sense of privacy
D. Ippolito, F. Tramèr, M. Nasr, C. Zhang, M. Jagielski, K. Lee, C. A. Choquette-Choo, and N. Carlini · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them, 2022
M. Suzgun, N. Scales, N. Schärli, S. Gehrmann, Y. Tay, H. W. Chung, A. Chowdhery, Q. V. Le, E. H. Chi, D. Zhou, and J. Wei · 2022
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J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al · 2023
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Gqa: Training generalized multi-query transformer models from multi-head checkpoints
J. Ainslie, J. Lee-Thorp, M. de Jong, Y. Zemlyanskiy, F. Lebrón, and S. Sanghai · 2023
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L. Zheng, W.-L. Chiang, Y. Sheng, T. Li, S. Zhuang, Z. Wu, Y. Zhuang, Z. Li, Z. Lin, E. Xing, et al · 2023
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On-policy distillation of language models: Learning from self-generated mistakes
R. Agarwal, N. Vieillard, Y. Zhou, P. Stanczyk, S. R. Garea, M. Geist, and O. Bachem · 2024
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Llama 3 model card, 2024
AI@Meta · 2024
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Chatbot arena: An open platform for evaluating llms by human preference, 2024
W.-L. Chiang, L. Zheng, Y. Sheng, A. N. Angelopoulos, T. Li, D. Li, H. Zhang, B. Zhu, M. Jordan, J. E. Gonzalez, and I. Stoica · 2024
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context, 2024
Gemini Team · 2024
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Gemma: Open models based on gemini research and technology, 2024
Gemma Team · 2024
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Minillm: Knowledge distillation of large language models
Y. Gu, L. Dong, F. Wei, and M. Huang · 2024
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Llm comparator: Visual analytics for side-by-side evaluation of large language models, 2024
M. Kahng, I. Tenney, M. Pushkarna, M. X. Liu, J. Wexler, E. Reif, K. Kallarackal, M. Chang, M. Terry, and L. Dixon · 2024
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Evaluating language-model agents on realistic autonomous tasks, 2024
M. Kinniment, L. J. K. Sato, H. Du, B. Goodrich, M. Hasin, L. Chan, L. H. Miles, T. R. Lin, H. Wijk, J. Burget, A. Ho, E. Barnes, and P. Christiano · 2024
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Malla: Demystifying real-world large language model integrated malicious services, 2024
Z. Lin, J. Cui, X. Liao, and X. Wang · 2024
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Personal Communication, 2024
Macknight, Aung, and Gomes · 2024
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Evaluating frontier models for dangerous capabilities, 2024
M. Phuong, M. Aitchison, E. Catt, S. Cogan, A. Kaskasoli, V. Krakovna, D. Lindner, M. Rahtz, Y. Assael, S. Hodkinson, H. Howard, T. Lieberum, R. Kumar, M. A. Raad, A. Webson, L. Ho, S. Lin, S. Farquhar, M. Hutter, G. Deletang, A. Ruoss, S. El-Sayed, S. Brown, A. Dragan, R. Shah, A. Dafoe, and T. Shevlane · 2024
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Warp: On the benefits of weight averaged rewarded policies, 2024
A. Ramé, J. Ferret, N. Vieillard, R. Dadashi, L. Hussenot, P.-L. Cedoz, P. G. Sessa, S. Girgin, A. Douillard, and O. Bachem · 2024
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Introducing qwen1.5, February 2024
Q. Team · 2024
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grok-1, 2024
xAI · 2024
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