Gemma 4 E4b

https://deepmind.google › models › gemma
Gemma 4 is a family of open models purpose built for advanced reasoning and agentic workflows

https://gemma4.com
Gemma 4 is the fourth generation of Google DeepMind s family of open models Built from the same research data pipelines and safety work behind Gemini Gemma 4 brings frontier level capability to

https://huggingface.co › google
Overall Gemma 4 models significantly outperform Gemma 3 and 3n models in improving safety while keeping unjustified refusals low All testing was conducted without safety filters to evaluate the model

https://ai.google.dev › gemma › docs
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 Developed by Google DeepMind and

https://ai.google.dev › gemma › docs › core
Gemma is a family of generative artificial intelligence models and you can use them in a wide variety of generation tasks including question answering summarization and reasoning

https://github.com › google-deepmind › gemma
Gemma is a family of open weights Large Language Model LLM by Google DeepMind based on Gemini research and technology This repository contains the implementation of the gemma PyPI

https://huggingface.co › blog
Google gemma 4 12B google gemma 4 12B it google gemma 4 26B A4B google gemma 4 26B A4B it google gemma 4 31B google gemma 4 31B it google gemma 4 E2B

https://en.wikipedia.org › wiki › Gemma_(language_model)
Gemma 3 is based on a decoder only transformer architecture with grouped query attention GQA and the SigLIP vision encoder Every model has a context length of 128K with the exception of Gemma

https://www.ollama.com › library
Gemma is a lightweight family of models from Google built on Gemini technology The Gemma 3 models are multimodal processing text and images and feature a 128K context window with