Gemma2-27B
Gemma2-27B is an AI model published by Google Deep Mind, released on 2024-05-14, for Foundation model, with 270.0B parameters, and 4K tokens context length, requiring about 54GB storage, under the Gemma Terms of Use license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Gemma2-27B currently shows benchmark results led by BBH (12 / 20, score 74.90), HellaSwag (2 / 3, score 86.40), GSM8K (19 / 26, score 74). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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