gemma-4-26B-A4B-it is a Google-developed multimodal instruction-tuned Mixture-of-Experts model for text, image, and video understanding.
gemma-4-26B-A4B-it NIM Container Overview
Description:
The gemma-4-26B-A4B-it NIM container packages the Google gemma-4-26B-A4B-it model for deployment through NVIDIA NGC as a Downloadable NIM.
The container components are ready for commercial or non-commercial use.
Third-Party Community Consideration
The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA gemma-4-26B-A4B-it Model Card.
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products. Use of the model is governed by the NVIDIA Open Model Agreement.
Additional Information: Apache 2.0, Gemma Terms of Use, and Gemma Prohibited Use Policy.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
NGC First released on 05/29/2026 via link. For the most recent update, refer to the right-hand side of the NGC catalog page.
Program Classes:
The gemma-4-26B-A4B-it NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| gemma-4-26B-A4B-it | Multimodal reasoning, coding, function calling, long-context analysis, image understanding, video understanding, multilingual conversation, and multi-turn conversation. | Automatic (embedded in container) |
Deployment Details:
This Downloadable NIM provides an OpenAI-compatible inference service for gemma-4-26B-A4B-it.
API Endpoints:
/v1/chat/completions- Chat completions/v1/models- List available models/health/ready- Health check
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Reference(s):
- gemma-4-26B-A4B-it NVIDIA Model Card
- NGC model page
- Google gemma-4-26B-A4B-it Model Page
- NVIDIA Gemma-4-26B-A4B-NVFP4 Model Page
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
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