Gemma explained: An overview of Gemma model family architectures

Gemma is a family of lightweight, open-source models derived from the same foundational research as the Gemini models, designed for various applications and modalities such as text-to-text, coding, and multi-modality with text and image inputs. The models vary in size to accommodate different hardware and computational needs and include novel architectural features that enhance performance and efficiency. Key models in the series are Gemma 1, CodeGemma, Gemma 2, RecurrentGemma, and PaliGemma, each optimized for specific tasks such as text generation, code completion, and vision-language processing. The Gemma models utilize a transformer architecture with a decoder-only setup allowing them to generate text token by token based on user prompts and are characterized by their large vocabulary size and fine-tuning capabilities. The series provides insights into architectural design choices in modern large language models, promoting understanding and further exploration in the field.

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