Google’s Gemma 2 model

Available in 9B and 27B Parameter Versions, Setting New Standards in AI Efficiency


Google’s Gemma 2 model is offered in two sizes, 9B and 27B, featuring a brand new architecture designed for class-leading performance and efficiency.

Class-Leading Performance

At 27 billion parameters, Gemma 2 delivers performance surpassing models more than twice its size in benchmarks. This breakthrough efficiency sets a new standard in the open model landscape.

Model Sizes

  • 9B Parameters: ollama run gemma2
  • 27B Parameters: ollama run gemma2:27b


Gemma 2 sets new benchmarks in performance and efficiency, outpacing much larger models.

Intended Usage

Open Large Language Models (LLMs) like Gemma 2 have a wide range of applications across various industries and domains. Below are some potential use cases:

Content Creation and Communication
  • Text Generation: Generate creative text formats such as poems, scripts, code, marketing copy, and email drafts.
  • Chatbots and Conversational AI: Power conversational interfaces for customer service, virtual assistants, or interactive applications.
  • Text Summarization: Create concise summaries of text corpora, research papers, or reports.

Research and Education
  • Natural Language Processing (NLP) Research: Serve as a foundation for researchers to experiment with NLP techniques, develop algorithms, and contribute to the advancement of the field.
  • Language Learning Tools: Support interactive language learning experiences, aiding in grammar correction or providing writing practice.
  • Knowledge Exploration: Assist researchers in exploring large bodies of text by generating summaries or answering questions about specific topics.

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