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