On June 3, 2026, Google introduced Gemma 4 12B Unified, an open-source multimodal model designed to understand text, images, audio, and video within a single architecture. It combines a 256K context window with an efficient, laptop-friendly design aimed at agentic workflows and local deployment. The release also raises interesting questions about Google’s broader AI strategy, […]
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The model, released under the Apache 2.0 license, is another example of how cloud providers are enabling enterprises to run models on local devices for agentic workflows.
Google has released new tools that allow developers to run agentic AI workflows locally using Gemma 4 12B, a 12-billion-parameter model from Google DeepMind.
In a blog post, the company said the model, combined with the Google AI Edge stack, can be used to build and test applications on everyday machines. The model-runtime combination supports capabilities such as autonomous data processing, visual insight generation, webpage creation, and tool use.
The release includes Google AI Edge Gallery for macOS, where developers can use Gemma 4 12B to generate and run scripts for tasks such as data analysis. Google also said its Eloquent voice dictation and editing app now runs fully on-device on macOS, with support for local transcription and voice-driven text editing.
Google has also expanded LiteRT-LM, its lightweight command-line tool for running language models locally, with a new serve command. The company said this allows the CLI to act as a local LLM server and lets developers connect G
