Gemma2-27B
Gemma2-27B is an AI model published by Google Deep Mind, released on 2024-05-14, for Foundation model, with 27B parameters, and 4K context length, requiring about 54GB storage, with a 86.40 score on HellaSwag.
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
Gemma2-27B currently shows benchmark results led by BBH (12 / 21, 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.
General Knowledge
3 evaluationsCoding and Software Engineer
2 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Gemma2-27B is an AI model published by Google Deep Mind, released on 2024-05-14, for Foundation model, with 27B parameters, and 4K context length, requiring about 54GB storage, with a 86.40 score on HellaSwag.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
