Google AI Gemma reaches 150m downloads while Meta’s calls more than 1.2b shoots

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The artificial intelligence (AI) model of Open Source of Google Gemma has reached 150 million downloads, a key milestone since the company competes with the largest flame model in the meta in the AI ​​space.

Omar Sanseviero, a developer Relationship Engineer on Google Deepmind, announced the achievement in X During the weekend. “Gemma has just passed 150 million downloads and more than 70k variants in the hugged face,” Sanseviero wrote. Developers have created more than 70,000 custom versions on the AI ​​platform since the launch of Gemma in February 2024.

Despite this growth, Gemma is still behind Meta’s calls, which reached 1.2 billion downloads at the end of April 2025. Google’s strategy focuses on creating smaller and efficient models that require less computer power.

“Smaller models are more portable and can be implemented for a broader scope of use cases, such as remote operations or devices with limited local storage.” Sam Mugel explainedMultiverse computer science. “Reducing the general size of these models also reduces the energy required to operate.”

The latest versions of Gemma can process both images and text while admitting more than 100 languages. Google has also created specialized versions for specific fields such as drug discovery.

In March 2025, Google launched Gemma 3, designed to run in a single graphics processing unit. This makes technology more accessible to developers with limited resources.

However, commercial adoption faces challenges. Both Gemma and Llama use non -standard license terms that some developers consider risky for commercial applications.

This milestone occurs as Google’s efforts gain impulse. The documents of an in -progressive antitrust essay reveal that the Google AI Chatbot Gemini grew from 9 million daily users in October 2024 to 35 million in March 2025, with monthly active users that reach 350 million.

As the race between technological giants in the development of AI intensifies, Google’s approach in efficiency and accessibility through Gemma represents a strategic approach to carve its place in the competitive open source panorama.

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