Google Gemma 4 Released: The strongest AI that makes HP feel like a super server!

A surprising step was taken again by the technology giant Google. Based on the official announcement from Google DeepMind, the latest generation of open source AI family is named Google Gemma 4 officially launched globally. The presence of this artificial intelligence model immediately became a hot topic among developers and was enthusiastic about technology because it brought a very significant leap in performance compared to the previous generation.

Adapted from the official report on the Android developer blog, Google Gemma 4 was built using the same basic architecture and research as the Gemini 3 flagship model. Interestingly, Google this time chose a much freer licensing scheme, namely Apache 2.0. This policy allows anyone to download, modify, and use it for commercial purposes without any royalty or monthly user restrictions.

Four main variants for various devices

Google designed the Gemma 4 family to be flexible to use on various device scales, ranging from smartphones with limited specifications to large-scale data center servers. Citing technical data released by Google AI for Developers, this model comes in four main variants:

• Gemma 4 E2B: The model is very efficient with effective parameters of around 2 billion, specially designed for local processing on Android and iOS smartphones.
• Gemma 4 E4B: The EDGE model has a capacity of 4 billion effective parameters for laptops, tablets, and portable devices with multimodal analysis capabilities.
• Gemma 4 26B Moe (A4B): Using the Mixture of Experts architecture that only activates about 3.8 billion parameters per process, it provides high speed with the equivalent of a large model.
• Gemma 4 31b Dense: The largest and most dense variants for heavy data processing needs, complex coding analysis, and production servers.

The main advantages of Google Gemma 4

One of the biggest attractions of Google Gemma 4 is its ability to run offline without the need for an internet connection at all. This capability provides absolute data privacy guarantees because all information processing occurs directly on the user’s device.

1. Multimodal capability and long context

Not only processing text, all variants of Gemma 4 have the native ability to understand text and images at the same time. Especially on EDGE variants such as E2B and E4B, Google even embeds direct audio input support. In addition, the large model Gemma 4 supports context windows up to 256K tokens, allowing bold document analysis or giant program code repositories at a time.

2. Reasoning mode and function calling

Adapted from the technical documentation, the Google Gemma 4 is equipped with features Configurable Thinking Mode. This feature allows AI to perform tiered reasoning before giving an answer. This model is also provided with support Native Function Calling, makes it easier for developers to create autonomous AI agents who can carry out automation tasks independently.

3. Power efficiency and broad language support

Tests on mobile devices show that the local variant of the Gemma 4 is capable of working up to 4 times faster and saving battery consumption by up to 60 percent compared to the previous generation. In addition, this model has been trained to support more than 140 languages around the world, including an excellent understanding of the Indonesian context.

How to Try and Implement Gemma 4

For lay users who want to try their prowess directly on their phones, Google has provided the Google AI Edge Gallery application on the Google Play Store and App Store. Users can directly test this small model offline without the need to make complicated settings.

Meanwhile, for application developers, the weight of the Google Gemma 4 model can be downloaded freely through the Hugging Face platform. This model has also been fully integrated with various popular ecosystems such as Ollama, LM Studio, and Google AI Studio, making it easier for the deployment process on both personal laptops and on cloud servers.