Description: Gemma 2, developed by Google, is an advanced iteration of the Gemma family, introduced in 2024 as lightweight, open source LLMs. Building on Gemma’s initial 2B and 7B models, Gemma 2 (e.g., Gemma-9B or larger variants) improves efficiency and performance for tasks like text generation and classification. Designed for research and deployment on constrained hardware, it competes with models like LLaMA and Mistral. Google’s open approach with Gemma 2 aims to foster innovation, offering pre trained weights and integration with tools like TensorFlow and PyTorch.
Key Features:
Available in 2B and 7B parameter versions.
Optimized for CPUs and edge devices.
Use Cases: On device AI, mobile applications.