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GOVERNING DOWNLOAD TERMS: Use of the model is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.

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Gemma-4-26B-A4B-IT 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 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 06/01/2026 via link

Program Classes:

The gemma-4-26B-A4B-it NIM Container includes the following model:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

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

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):

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.

Please make sure you have proper rights and permissions for all input image content; if image includes people, personal health information, or intellectual property, the image generated will not blur or maintain proportions of image subjects included.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)

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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](https://huggingface.co/google/gemma-4-26B-A4B-it/).\n\n## License/Terms of Use:\n**GOVERNING TERMS:** The NIM container is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and the [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/). Use of the model is governed by the [NVIDIA Open Model Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-agreement/).\n\nAdditional Information: [Apache 2.0](https://ai.google.dev/gemma/apache_2), [Gemma Terms of Use](https://ai.google.dev/gemma/terms), and [Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy).\n\nYou are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.\n\n## Deployment Geography:\nGlobal\n\n## Release Date:\n**NGC** 06/01/2026 via [link](https://catalog.ngc.nvidia.com/orgs/nim/teams/google/containers/gemma-4-26b-a4b-it)\n\n## Program Classes:\nThe gemma-4-26B-A4B-it NIM Container includes the following model:\n\n| Model Name & Link | Use Case | How to Pull the Model |\n|:------------------|:---------|:---------------------|\n| [gemma-4-26B-A4B-it](https://catalog.ngc.nvidia.com/orgs/nim/teams/google/models/gemma-4-26b-a4b-it?version=nim-bf16) | Multimodal reasoning, coding, function calling, long-context analysis, image understanding, video understanding, multilingual conversation, and multi-turn conversation. | Automatic |\n\n## Deployment Details:\nThis Downloadable NIM provides an OpenAI-compatible inference service for gemma-4-26B-A4B-it.\n\n**API Endpoints:**\n- `/v1/chat/completions` - Chat completions\n- `/v1/models` - List available models\n- `/health/ready` - Health check\n\nOur 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.\n\n## Reference(s):\n- [gemma-4-26B-A4B-it NVIDIA Model Card](gemma-4-26b-a4b-it-model-card.md)\n- [NGC model page](https://catalog.ngc.nvidia.com/orgs/nim/teams/google/models/gemma-4-26b-a4b-it)\n- [Google gemma-4-26B-A4B-it Model Page](https://huggingface.co/google/gemma-4-26B-A4B-it/)\n- [NVIDIA Gemma-4-26B-A4B-NVFP4 Model Page](https://huggingface.co/nvidia/Gemma-4-26B-A4B-NVFP4)\n\n\n## Ethical Considerations:\nNVIDIA 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.\n\nPlease make sure you have proper rights and permissions for all input image content; if image includes people, personal health information, or intellectual property, the image generated will not blur or maintain proportions of image subjects included.\n\nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n# Get Help\n\n## Getting started with the NIM\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [NIM Container page](https://catalog.ngc.nvidia.com/orgs/nim/teams/google/containers/gemma-4-26b-a4b-it) for release documentation, deployment guides and more.\n\n## NVIDIA Developer Community Forum\nGet access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)","displayName","Gemma 4 26B A4B IT",["D",1780360294804],"publisher","Google","latestVersion","versions",[140,198],"imageUrl","/api/image/nim/google/containers/gemma-4-26b-a4b-it","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",12575112233,"licenseTerms",{"_262":263,"_264":16,"_265":266,"_267":20,"_268":269},"isMultinodeEnabled","isMultiArchitecture","hasSignedTag","featureLabels",[256],"displayLabels",[250,251],"policyLabels",[],"systemLabels",[243],"products",[],"hasNimMetadata",{"_213":244,"_245":244,"_246":247,"_75":248},"signed images","value","filter",{"_249":248,"_245":244},"system","field",{"_213":254,"_245":254,"_246":255,"_75":81},{"_213":252,"_245":252,"_246":253,"_75":81},"NSPECT-GJ84-4O8W",{"_249":81,"_245":252},"Experimental",{"_249":81,"_245":254},{"_213":257,"_245":258,"_246":259,"_75":260},"NVIDIA NIM","nimmcro_nvidia_nim",{"_249":261,"_245":258},"feature","nvidia_nim","governingTerms","

GOVERNING DOWNLOAD TERMS: Use of the model is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.

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If you do not allow these cookies, then some or all of these services may not function properly.",[584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608],[555,556,557,558,559],{"_393":469,"_213":469,"_169":395,"_367":579},{"_393":443,"_213":443,"_169":395,"_367":574},{"_393":569,"_213":569,"_169":395,"_367":570},{"_393":564,"_213":564,"_169":395,"_367":565},{"_393":560,"_213":560,"_169":395,"_367":561},"nvidia.partners",[562],{"_199":563,"_400":560,"_401":20,"_169":437},"edge","app.hushly.com",[566],{"_199":567,"_400":564,"_401":20,"_169":568},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[571],{"_199":572,"_400":569,"_401":20,"_169":573},"_octo","This domain is owned by Github. 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These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website performance.",3,[668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696],[648,649,650,651],{"_393":663,"_213":663,"_169":395,"_367":664},{"_393":658,"_213":658,"_169":395,"_367":659},{"_393":456,"_213":456,"_169":395,"_367":655},{"_393":569,"_213":569,"_169":395,"_367":652},[653],{"_199":654,"_400":569,"_401":18,"_169":573},"_gh_sess",[656],{"_199":657,"_400":456,"_401":18,"_169":463},"YSC","bizible.com",[660],{"_199":661,"_400":658,"_401":20,"_169":662},"_BUID","Bizible is a marketing attribution software that tracks the performance of marketing efforts and connects them to revenue, primarily used for B2B environments.","a.usbrowserspeed.com",[665],{"_199":666,"_400":663,"_401":20,"_169":667},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_199":738,"_400":515,"_401":20,"_169":739},{"_199":723,"_400":737,"_401":18,"_169":724},{"_199":706,"_400":518,"_401":20,"_169":630},{"_199":706,"_400":618,"_401":20,"_169":630},{"_199":735,"_400":515,"_401":20,"_169":736},{"_199":723,"_400":521,"_401":18,"_169":724},{"_199":733,"_400":515,"_401":20,"_169":734},{"_199":723,"_400":518,"_401":18,"_169":724},{"_199":731,"_400":617,"_401":20,"_169":732},{"_199":723,"_400":639,"_401":18,"_169":724},{"_199":703,"_400":518,"_401":20,"_169":705},{"_199":729,"_400":515,"_401":18,"_169":730},{"_199":727,"_400":515,"_401":20,"_169":728},{"_199":725,"_400":515,"_401":18,"_169":726},{"_199":723,"_400":613,"_401":18,"_169":724},{"_199":721,"_400":515,"_401":20,"_169":722},{"_199":719,"_400":515,"_401":20,"_169":720},{"_199":717,"_400":515,"_401":18,"_169":718},{"_199":715,"_400":622,"_401":20,"_169":716},{"_199":703,"_400":613,"_401":20,"_169":705},{"_199":713,"_400":515,"_401":20,"_169":714},{"_199":711,"_400":515,"_401":18,"_169":712},{"_199":709,"_400":515,"_401":20,"_169":710},{"_199":707,"_400":515,"_401":20,"_169":708},{"_199":706,"_400":515,"_401":20,"_169":630},{"_199":703,"_400":704,"_401":20,"_169":705},{"_199":701,"_400":515,"_401":20,"_169":702},{"_199":699,"_400":515,"_401":18,"_169":700},{"_199":697,"_400":515,"_401":20,"_169":698},"_ga_xxxxxxxxxx","Used by Google Analytics to identify and track an individual session with your device.","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","marketplace.nvidia.com","Datadog Cookie used to group all events generated from a unique user session across multiple pages. 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