Model Overview Card for Gemma-2 27B

Basic Information

• Model Name: Gemma-2-27B-IT
• Developer/Creator: Google
• Release Date: June 2024
• Version: 2.1
• Model Type: Large Language Model (LLM)

Description

Overview:

Gemma-2 27B is a high-performance language model designed to handle a diverse range of text generation tasks, including question answering, summarization, and reasoning. It offers significant improvements in efficiency and performance compared to its predecessors, making it suitable for various applications in natural language processing.

Key Features:

• 27 billion parameters, providing robust performance for complex tasks.
• Large context window of up to 8,192 tokens, allowing for extensive input handling.
• Fine-tuned for improved accuracy in generating coherent and contextually relevant responses.
• Supports multiple languages, enhancing its usability in global applications.
• Designed for efficient inference on NVIDIA GPUs and TPUs, reducing operational costs.

Intended Use:

The model is intended for software developers and researchers looking to implement advanced language processing capabilities in applications such as chatbots, content creation tools, and automated customer support systems.

Language Support:

Gemma-2 27B supports multiple languages, primarily focusing on English while also accommodating other widely spoken languages.

Technical Details

Architecture:

Gemma-2 27B employs a transformer architecture optimized for both performance and efficiency. It utilizes techniques such as grouped-query attention to enhance inference speed while maintaining high-quality outputs.

Training Data:

The model was trained on a diverse dataset consisting of over 13 trillion tokens sourced from web documents, code repositories, and scientific literature. This extensive training allows the model to generalize effectively across various topics.

• Data Source and Size: The training dataset includes a mixture of high-quality text from multiple domains to ensure robustness and versatility.
• Diversity and Bias: The training data was curated with a focus on minimizing biases and ensuring diverse representation across different subjects and linguistic styles.

Performance Metrics and Comparison to Other Models:

Gemma-2-27B-IT has demonstrated impressive performance metrics:

Usage

Code samples

The model is available on the AI/ML API platform as "Gemma 2 (27b)" .

Ethical Considerations

Google emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The company encourages responsible usage to prevent misuse or harmful applications of generated content.

Licensing

Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/termsGemma models are available under a commercially-friendly license that allows both research and commercial usage rights while ensuring compliance with ethical standards.

Get Gemma 2 (27b) API here.