Gemma 3Translation site

What's Gemma 3?

Gemma 3 is the next generation from GoogleOpen SourceAI model, which is built on the same research and technology as Gemini 2.0, is Google's most advanced and portable open source model to date.Gemma 3 was officially released on March 12, 2025, and offers four parameter scales, 1B, 4B, 12B, and 27B, to meet the needs of different users.

Gemma 3 Key Features

1. multimodal support: Gemma 3 supports multimodality natively and is able to handle multiple types of inputs such as text, images and short videos.
2. Multi-language support: Supports pre-training for over 140 languages and provides out-of-the-box support for over 35 languages.
3. Advanced Textual and Visual Reasoning: The ability to analyze images, text and short videos opens up new possibilities for interactive and intelligent applications.
4. Extended Context Window: Provides a context window of 128k tokens (32k for the 1B parameter version), enabling applications to process and understand large amounts of information.
5. Function calls and structured output: Supports function calls and structured output to help users automate tasks and build agent-based experiences.

Gemma 3 Technical Features

1. lightweight model: Gemma 3 is a set of lightweight models that developers can run directly and quickly on devices such as cell phones, laptops, and workstations.
2. Single GPU/TPU operation: Compared to other large models that require multiple GPUs to run, Gemma 3 requires only a single GPU or TPU to run, dramatically reducing operating costs.
3. Efficient distillation technology: An efficient distillation process is employed to ensure that the student model accurately learns the output distribution of the instructor's model while controlling computational costs.
4. Optimized attention mechanisms: Reduces the KV cache explosion problem for long contexts by increasing the proportion of "local attention layers" and shortening the span of local attention.
5. A new word splitter: employs a brand new tokenizer, provides support for more than 140 languages, and uses the JAX framework for training.

Gemma 3 usage scenarios

1. interactive application: Gemma 3 is capable of handling a wide range of inputs such as text, images and short videos, providing a rich interactive experience for interactive applications.
2. Intelligent Customer Service: Supporting multi-language and advanced text reasoning capabilities, it is able to provide users with more intelligent and personalized customer service.
3. content creation: The ability to analyze images and text to provide content creators with inspiration and material to fuel content creation.
4. data analysis: The ability to process and analyze large amounts of data through extended contextual windows and advanced reasoning capabilities provides strong support for decision making.

Gemma 3 Operating Instructions

Gemma 3 models can be accessed and used in a variety of ways, including but not limited to:

1. Google AI Studio: Users can access and use Gemma 3 models directly through Google AI Studio.
2. Hugging Face: The Gemma 3 model has also been open-sourced on the Hugging Face platform, where users can download and use the model.
3. local deployment: Users can also deploy Gemma 3 models to local devices for quick runs and reasoning when needed.

Gemma 3 Recommended Reasons

1. Advanced and Portable: Gemma 3, Google's most advanced and portable open source model, provides users with an efficient and convenient AI solution.
2. Multimodal and multilingual support: Native support for multimodality and multilingualism enables models to be used in a wide range of domains and scenarios.
3. High performance and low cost: Runs on a single GPU or TPU, dramatically reducing operating costs while maintaining high performance.
4. Rich functionality and interfaces: Provides a rich set of functions and interfaces, supports function calls and structured output, providing users with more flexible and diversified ways of use.

Project website::https://developers.googleblog.com/en/introducing-gemma3/
HuggingFace Model Library::https://huggingface.co/collections/google/gemma-3-release