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GitHub - google-deepmind/gemma: Open weights LLM from Google ...
Gemma is a family of open-weights Large Language Model (LLM) by Google DeepMind, based on Gemini research and technology. This repository contains an inference implementation and examples, based on the Flax and JAX. The Gemma technical report (v1, v2) details the models' capabilities.
Gemma explained: What’s new in Gemma 2- Google Developers Blog
Recently, we released Gemma 2, our groundbreaking new suite of open models, setting a new standard for performance and accessibility. Available in 2B, 9B, and 27B parameter sizes, Gemma 2 has quickly made its mark.
Gemma explained: An overview of Gemma model family ...
Gemma is a family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models. Different variations of Gemma are designed for different use cases and modalities, such as: Varying sizes for different hardware types, inference needs, and other constraints.
Google AI Gemma open models - Google for Developers
Gemma models achieve exceptional benchmark results at its 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. Deploy seamlessly to mobile, web, and cloud using Keras, JAX, MediaPipe, PyTorch, Hugging Face, and more.
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