Gemma 7B is an AI model published by Google Research, released on 2024-02-21, for Foundation model, with 7B parameters, and 2K context length, requiring about 14GB storage, with a 33.73 score on MMLU Pro.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Gemma 7B currently shows benchmark results led by MMLU Pro (162 / 176, score 33.73). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Publisher
Model Overview
Gemma 7B is an AI model published by Google Research, released on 2024-02-21, for Foundation model, with 7B parameters, and 2K context length, requiring about 14GB storage, with a 33.73 score on MMLU Pro.
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