Google Releases Gemma 4 Multimodal Open Model
The new 26-billion-parameter model from DeepMind uses a mixture-of-experts design for greater efficiency and is tuned for assistant-style tasks.
Google DeepMind has expanded its open-source offerings with the release of Gemma 4, a new generation of its popular model family. The initial variant, Gemma 4 26B-A4B Instruct, is a powerful multimodal model designed for conversational AI and assistant tasks.
Efficient by Design
Gemma 4 employs a sparse Mixture-of-Experts (MoE) architecture, a design choice that balances model scale with computational cost. While the model contains a total of 26 billion parameters, only 4 billion are active during inference for any given input. This approach allows Gemma 4 to achieve the performance associated with larger models while requiring significantly less processing power.
Key specifications include:
- Total Parameters: 26 billion
- Active Parameters: 4 billion
- Modalities: Text and Vision (VLM)
- License: Apache 2.0
This release is notable for its multimodal capabilities. As a vision-language model (VLM), Gemma 4 can understand and process both text and image inputs, making it suitable for a wide range of applications from image captioning to visual Q&A. This specific version is instruction-tuned, meaning it has been optimized to follow user prompts and engage in helpful dialogue.
By releasing Gemma 4 under the permissive Apache 2.0 license, Google continues to support the open-source AI community. This allows developers and researchers to freely build upon, modify, and deploy the model for both academic and commercial purposes, further accelerating innovation in the field.
Sources
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google/gemma-4-26B-A4B-it-assistant
Hugging Face
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