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Google's Gemma AI models surpass 150M downloads
Google's Gemma AI models surpass 150M downloads

Yahoo

time12-05-2025

  • Business
  • Yahoo

Google's Gemma AI models surpass 150M downloads

Google's openly available Gemma collection of AI models has reached a milestone: over 150 million downloads. Omar Sanseviero, a developer relations engineer at Google DeepMind, announced the figure on X over the weekend, also revealing that developers have created more than 70,000 variants of Gemma on the AI dev platform Hugging Face. Google launched Gemma in February 2024, aiming to compete with other "open" model families like Meta's Llama. The latest Gemma releases are multimodal, meaning that they can work with images as well as text, and support over 100 languages. Google has also created versions of Gemma fine-tuned for particular applications, like drug discovery. While 140 million downloads in roughly a year is a head-turning metric, Gemma trails far behind Llama, perhaps its chief rival, which surpassed 1.2 billion downloads in late April. Worth noting is that Gemma, as well as Llama, has been criticized for custom, non-standard licensing terms, which some devs say have made using the models commercially a risky proposition. Error while retrieving data Sign in to access your portfolio Error while retrieving data

Google's Gemma AI models surpass 150M downloads
Google's Gemma AI models surpass 150M downloads

Yahoo

time12-05-2025

  • Business
  • Yahoo

Google's Gemma AI models surpass 150M downloads

Google's openly available Gemma collection of AI models has reached a milestone: over 150 million downloads. Omar Sanseviero, a developer relations engineer at Google DeepMind, announced the figure on X over the weekend, also revealing that developers have created more than 70,000 variants of Gemma on the AI dev platform Hugging Face. Google launched Gemma in February 2024, aiming to compete with other "open" model families like Meta's Llama. The latest Gemma releases are multimodal, meaning that they can work with images as well as text, and support over 100 languages. Google has also created versions of Gemma fine-tuned for particular applications, like drug discovery. While 140 million downloads in roughly a year is a head-turning metric, Gemma trails far behind Llama, perhaps its chief rival, which surpassed 1.2 billion downloads in late April. Worth noting is that Gemma, as well as Llama, has been criticized for custom, non-standard licensing terms, which some devs say have made using the models commercially a risky proposition. This article originally appeared on TechCrunch at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Google's Gemma AI models surpass 150M downloads
Google's Gemma AI models surpass 150M downloads

TechCrunch

time12-05-2025

  • Business
  • TechCrunch

Google's Gemma AI models surpass 150M downloads

In Brief Google's openly available Gemma collection of AI models has reached a milestone: over 150 million downloads. Omar Sanseviero, a developer relations engineer at Google DeepMind, announced the figure on X over the weekend, also revealing that developers have created more than 70,000 variants of Gemma on the AI dev platform Hugging Face. Gemma just passed 150 million downloads and over 70k variants on Hugging Face🚀🚀🚀 What would you like to see in the next Gemma versions? — Omar Sanseviero (@osanseviero) May 11, 2025 Google launched Gemma in February 2024, aiming to compete with other 'open' model families like Meta's Llama. The latest Gemma releases are multimodal, meaning that they can work with images as well as text, and support over 100 languages. Google has also created versions of Gemma fine-tuned for particular applications, like drug discovery. While 140 million downloads in roughly a year is a head-turning metric, Gemma trails far behind Llama, perhaps its chief rival, which surpassed 1.2 billion downloads in late April. Worth noting is that Gemma, as well as Llama, has been criticized for custom, non-standard licensing terms, which some devs say have made using the models commercially a risky proposition.

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