A paper from Google could make local LLMs even easier to run.

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean ...

Google has launched Gemma 4, four open-weight models from E2B edge to 31B Dense, built from Gemini 3 research, released under ...

Google today announced Gemma 4 as its latest open model. It is “built from the same world-class research and technology as ...

Google's Gemma 4 open models deliver frontier AI performance on a single Nvidia GPU, with Apache 2.0 licensing and native ...

Google's Gemma 4 model goes fully open-source and unlocks powerful local AI - even on phones ...

In a nutshell: Google has released the Gemma 4 open-weight AI model, designed to run locally on smartphones and other ...

Google positions Gemma 4 for workstation and edge deployment, with E2B/E4B models offering 128K context for low-latency ...

Gemma is Google's series of open-weights models, which means you can download them and run them on your own hardware.

Built on the same architectural foundation as Gemini 3, the models are designed to handle complex reasoning tasks and support ...

Gemma 4 setup for beginners: download and run Google’s Apache 2.0 open model locally with Ollama on Windows, macOS, or Linux via terminal commands.

Release Date: April 2, 2026 Developer: Google DeepMind License: Apache 2.0 Yesterday, Google DeepMind “casually dropped” the ...