Meet Gemma 3n: Hi friends, today we are going to talk about Google new and great AI model Gemma 3n which is creating a stir in the world of technology. If you are wondering what it is and why it is so special, then wait because we are going to tell you all the things about this model in an easy and fun way. This AI model is so special that it works without internet and performs brilliantly even on devices with just 2GB of RAM. So let’s know what Gemma 3n is and why it matters to you.
What is Gemma 3n and why is it special
Gemma 3n is Google new open source AI model specially designed for mobile and low memory devices. It was launched on 27 June 2025 and its preview was shown at the Google I/O event in May 2025. Its biggest feature is that it works without internet and runs smoothly even on smartphones, tablets or small devices with 2GB of RAM. Whether you are in a forest or a place where there is no network, this AI is with you.
This model is multimodal, that is, it can understand text, audio, image and video and gives text output. It can do text processing in more than 140 languages and multimodal processing in 35 languages. That means whether you talk in Hindi or any other language, it will understand you. Also, it is better than before in tasks like coding maths and reasoning. If you want a voice assistant on your phone or want to do video analysis in real time, then Gemma 3n is perfect for you. Google has described it as a part of the Gemmaverse, which is a large family of its open source models. Developers can easily use and customize it on platforms like Hugging Face Google AI Studio Kaggle.
How does Gemma 3n work and what is its strength
The secret of the power of Gemma 3n is its MatFormer architecture, which Google has named Matryoshka Transformer. To understand this, remember Russian dolls in which there are smaller dolls inside a big doll. Similarly, this model has smaller fully functional sub-models inside the big model. It comes in two variants, E2B which has 5 billion parameters and runs in 2GB RAM and E4B which has 8 billion parameters and works in 3GB RAM. Due to technologies like Per Layer Embeddings and KV Cache Sharing, it performs well even in such low memory.
For audio, it uses Google’s Universal Speech Model which converts audio into tokens every 160 milliseconds. This makes tasks like speech recognition and translation easier. For images and videos, it has MobileNet V5 encoder which can process videos up to 60 frames per second, that too on phones like Google Pixel. This model is special for developers because it can handle inputs of up to 32000 tokens, which means it is easy to summarize long documents or do complex reasoning.
Google has also started the Gemma 3n Impact Challenge to attract developers, which has a prize pool of Rs 1.3 crore. Developers just have to create creative apps using this model and submit a video demo. This is a great opportunity for those who want to do something new with AI in fields like education, healthcare or environment. For users, this means that they can use many AI features on their phones like voice to text real time translation or video analysis, that too without internet.
Gemma 3n not only meets todays needs but also shows the future of on-device AI. Google says that this model is like Gemini Nano, which already offers features like voice recorder summary on Pixel phones. But Gemma 3n takes it a step further as it is open source and gives developers more freedom. People on X are talking about it a lot and calling it the first model to get LMArena score of over 1300 with less than 10 billion parameters. Although some developers are raising concerns about its license, its more than 160 million downloads show how popular it is.
So guys Gemma 3n is truly a game changer in the world of AI. It makes your phone smarter and gives developers a chance to innovate. If you are an AI enthusiast then definitely check it out and if you are a developer then don’t forget to participate in the Impact Challenge. Let us know what you think about it in the comments and don’t forget to share this blog.