Gemma 3: Google launches its latest open AI models – AI News
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Artificial Intelligence, Companies, Development, Ethics & Society, Google
Ryan Daws
March 12, 2025
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Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility.
Built upon the foundations of the company’s Gemini 2.0 models, Gemma 3 is engineered to be lightweight, portable, and adaptable—enabling developers to create AI applications across a wide range of devices.
This release comes hot on the heels of Gemma’s first birthday, an anniversary underscored by impressive adoption metrics. Gemma models have achieved more than 100 million downloads and spawned the creation of over 60,000 community-built variants. Dubbed the “Gemmaverse,” this ecosystem signals a thriving community aiming to democratise AI.
“The Gemma family of open models is foundational to our commitment to making useful AI technology accessible,” explained Google.
Gemma 3 models are available in various sizes – 1B, 4B, 12B, and 27B parameters – allowing developers to select a model tailored to their specific hardware and performance requirements. These models promise faster execution, even on modest computational setups, without compromising functionality or accuracy.
Here are some of the standout features of Gemma 3:
The model’s performance advantages are clearly illustrated in the Chatbot Arena Elo Score leaderboard. Despite requiring just a single NVIDIA H100 GPU, the flagship 27B version of Gemma 3 ranks among the top chatbots, achieving an Elo score of 1338. Many competitors demand up to 32 GPUs to deliver comparable performance.
One of Gemma 3’s strengths lies in its adaptability within developers’ existing workflows.
For immediate experiments, users can access Gemma 3 models via platforms such as Hugging Face and Kaggle, or take advantage of the Google AI Studio for in-browser deployment.
“We believe open models require careful risk assessment, and our approach balances innovation with safety,” explains Google.
Gemma 3’s team adopted stringent governance policies, applying fine-tuning and robust benchmarking to align the model with ethical guidelines. Given the models enhanced capabilities in STEM fields, it underwent specific evaluations to mitigate risks of misuse, such as generating harmful substances.
Google is pushing for collective efforts within the industry to create proportionate safety frameworks for increasingly powerful models.
To play its part, Google is launching ShieldGemma 2. The 4B image safety checker leverages Gemma 3’s architecture and outputs safety labels across categories such as dangerous content, explicit material, and violence. While offering out-of-the-box solutions, developers can customise the tool to meet tailored safety requirements.
The “Gemmaverse” isn’t just a technical ecosystem, it’s a community-driven movement. Projects such as AI Singapore’s SEA-LION v3, INSAIT’s BgGPT, and Nexa AI’s OmniAudio are testament to the power of collaboration within this ecosystem.
To bolster academic research, Google has also introduced the Gemma 3 Academic Program. Researchers can apply for $10,000 worth of Google Cloud credits to accelerate their AI-centric projects. Applications open today and remain available for four weeks.
With its accessibility, capabilities, and widespread compatibility, Gemma 3 makes a strong case for becoming a cornerstone in the AI development community.
(Image credit: Google)
See also: Alibaba Qwen QwQ-32B: Scaled reinforcement learning showcase
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Ryan Daws
Senior Editor
March 11, 2025
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TechForge
Artificial Intelligence, Companies, Development, Ethics & Society, Google
Ryan Daws
March 12, 2025
Share this story:
Tags:
Categories::
Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility.
Built upon the foundations of the company’s Gemini 2.0 models, Gemma 3 is engineered to be lightweight, portable, and adaptable—enabling developers to create AI applications across a wide range of devices.
This release comes hot on the heels of Gemma’s first birthday, an anniversary underscored by impressive adoption metrics. Gemma models have achieved more than 100 million downloads and spawned the creation of over 60,000 community-built variants. Dubbed the “Gemmaverse,” this ecosystem signals a thriving community aiming to democratise AI.
“The Gemma family of open models is foundational to our commitment to making useful AI technology accessible,” explained Google.
Gemma 3 models are available in various sizes – 1B, 4B, 12B, and 27B parameters – allowing developers to select a model tailored to their specific hardware and performance requirements. These models promise faster execution, even on modest computational setups, without compromising functionality or accuracy.
Here are some of the standout features of Gemma 3:
The model’s performance advantages are clearly illustrated in the Chatbot Arena Elo Score leaderboard. Despite requiring just a single NVIDIA H100 GPU, the flagship 27B version of Gemma 3 ranks among the top chatbots, achieving an Elo score of 1338. Many competitors demand up to 32 GPUs to deliver comparable performance.
One of Gemma 3’s strengths lies in its adaptability within developers’ existing workflows.
For immediate experiments, users can access Gemma 3 models via platforms such as Hugging Face and Kaggle, or take advantage of the Google AI Studio for in-browser deployment.
“We believe open models require careful risk assessment, and our approach balances innovation with safety,” explains Google.
Gemma 3’s team adopted stringent governance policies, applying fine-tuning and robust benchmarking to align the model with ethical guidelines. Given the models enhanced capabilities in STEM fields, it underwent specific evaluations to mitigate risks of misuse, such as generating harmful substances.
Google is pushing for collective efforts within the industry to create proportionate safety frameworks for increasingly powerful models.
To play its part, Google is launching ShieldGemma 2. The 4B image safety checker leverages Gemma 3’s architecture and outputs safety labels across categories such as dangerous content, explicit material, and violence. While offering out-of-the-box solutions, developers can customise the tool to meet tailored safety requirements.
The “Gemmaverse” isn’t just a technical ecosystem, it’s a community-driven movement. Projects such as AI Singapore’s SEA-LION v3, INSAIT’s BgGPT, and Nexa AI’s OmniAudio are testament to the power of collaboration within this ecosystem.
To bolster academic research, Google has also introduced the Gemma 3 Academic Program. Researchers can apply for $10,000 worth of Google Cloud credits to accelerate their AI-centric projects. Applications open today and remain available for four weeks.
With its accessibility, capabilities, and widespread compatibility, Gemma 3 makes a strong case for becoming a cornerstone in the AI development community.
(Image credit: Google)
See also: Alibaba Qwen QwQ-32B: Scaled reinforcement learning showcase
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Ryan Daws
Senior Editor
March 11, 2025
March 10, 2025
March 6, 2025
March 5, 2025
Subscribe now to get all our premium content and latest tech news delivered straight to your inbox
Artificial Intelligence, Machine Learning
Applications, Artificial Intelligence, Companies, Enterprise, Industries, Interviews, Logistics, Manufacturing
Applications, Artificial Intelligence, Enterprise, Interviews, Privacy, Security
Applications, Artificial Intelligence, cloud, Interviews
Artificial Intelligence, Companies, Deep & Reinforcement Learning, Development
March 6, 2025
Artificial Intelligence
March 5, 2025
Sponsored Content
March 5, 2025
All our premium content and latest tech news delivered straight to your inbox
AI News is part of TechForge
All our premium content and latest tech news delivered straight to your inbox
source
This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
