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Evaluation 687 of 723
Evaluation
Verbatim Memorization
discoverable memorization (Nasr et al. 2023): 10,000 documents sampled per corpus, first 50 tokens used as prompt, text classified memorized if the subsequent 50 generated tokens exactly match the ground-truth continuation; methodology follows Anil et al. (2023)
Memorization & privacy
Google DeepMind — Gemma
How it was run
Open a release to see the setup, scoring, and other details that the lab published. Only fields the lab actually disclosed are shown.
Gemma 1
Feb 2024
Google DeepMind — Gemma
rich detail
29 method fields published
See how this test was run
Gemma model card | Google AI for Developers · Feb 2024
Gemma model card | Google AI for Developers · Feb 2024
Gemma model card | Google AI for Developers · Feb 2024
Gemma model card | Google AI for Developers · Feb 2024
Gemma model card | Google AI for Developers · Feb 2024
Gemma model card | Google AI for Developers · Feb 2024
Gemma 2
Jun 2024
Google DeepMind — Gemma
rich detail
29 method fields published
See how this test was run
Gemma 2 model card | Google AI for Developers · Jun 2024
Gemma 2 model card | Google AI for Developers · Jun 2024
Gemma 2 model card | Google AI for Developers · Jun 2024
Gemma 2 model card | Google AI for Developers · Jun 2024
Gemma 2 model card | Google AI for Developers · Jun 2024
Gemma 2 model card | Google AI for Developers · Jun 2024
Gemma 2 model card | Google AI for Developers · Jun 2024