Gemma 2 - 9B
Gemma 2 - 9B is an AI model published by Google Research, released on 2024-06-27, for Foundation model, with 90.0B parameters, and 4K tokens context length, requiring about 18GB 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
Gemma 2 - 9B currently shows benchmark results led by ARC (1 / 4, score 68.20), BBH (13 / 20, score 68.20), GSM8K (20 / 26, score 70.70). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Gemma 2 - 9B is an AI model published by Google Research, released on 2024-06-27, for Foundation model, with 90.0B parameters, and 4K tokens context length, requiring about 18GB storage, under the Gemma Terms of Use license.
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