GPT-OSS-20B Overview

Description:

This container houses the GPT-OSS-20B from OpenAI’s gpt‑oss family, an open‑weight 20B‑parameter Mixture‑of‑Experts (MoE) model designed for powerful reasoning, agentic tasks, and versatile developer use cases. Designed as a Mixture-of-Experts (MoE) model, structurally identical to the larger 117B variant, albeit with different hyperparameters. This model leverages SwiGLU activations and incorporates learned attention sinks within its architecture. Functionally, it serves as a robust reasoning model, supporting advanced capabilities such as chain-of-thought processing, adjustable reasoning effort levels, instruction following, and tool use. It operates strictly with text-only modalities for both input and output. A key strategic benefit is its suitability for enterprises and governments, facilitating on-premises or private cloud deployment to ensure enhanced data security and privacy.

The container components are ready for commercial/non-commercial use.

Documentation

Visit the LLM NIM documentation page for release documentation, deployment guides, and more. NGC API Key is also no longer a requirement to download or run this NIM

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\n(https://huggingface.co/openai/gpt-oss-20b).

License/Terms of Use:

The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products.

The use of any models in this container is governed by the NVIDIA Open Model Agreement in addition to any terms which govern the specific models used.

You are responsible for ensuring that your use of any provided models complies with all applicable laws.

This model is released under the NVIDIA Open Model Agreement. The underlying model is licensed under the Apache License version 2.0.

Deployment Geography:

Global

Release Date:

Build.Nvidia.com 08/05/2025 via
\nGTP-OSS-20B Model by OpenAI | NVIDIA NIM

Huggingface 08/05/2025 via
\nhttps://huggingface.co/openai/gpt-oss-20b

GPT-OSS-20B

GPT-OSS-20B 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
GPT-OSS-20B	A model designed for powerful reasoning, agentic tasks, and versatile developer use cases.	Automatic

Deployment Details:

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.

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results.\nFor 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. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

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

Get Help

NVIDIA Developer Community Forum

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

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

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Designed as a Mixture-of-Experts (MoE) model, structurally identical to the larger 117B variant, albeit with different hyperparameters. This model leverages SwiGLU activations and incorporates learned attention sinks within its architecture. Functionally, it serves as a robust reasoning model, supporting advanced capabilities such as chain-of-thought processing, adjustable reasoning effort levels, instruction following, and tool use. It operates strictly with text-only modalities for both input and output. A key strategic benefit is its suitability for enterprises and governments, facilitating on-premises or private cloud deployment to ensure enhanced data security and privacy.\n\nThe container components are ready for commercial/non-commercial use.\n\n**Documentation**\n\nVisit the [LLM NIM documentation](https://docs.nvidia.com/nim/large-language-models/2.0.10/about-nim-llm/overview.html) page for release documentation, deployment guides, and more. NGC API Key is also no longer a requirement to download or run this NIM\n\n\n## **Third-Party Community Consideration**\n\nThe 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\n([https://huggingface.co/openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b)). \n\n## **License/Terms of Use:**\n\nThe 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/). \n\nThe use of any models in this container is governed by the [NVIDIA Open Model Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-agreement/) in addition to any terms which govern the specific models used. \n\nYou are responsible for ensuring that your use of any provided models complies with all applicable laws.\n\nThis model is released under the [NVIDIA Open Model Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-agreement/). The underlying model is licensed under the [Apache License version 2.0](https://www.apache.org/licenses/LICENSE-2.0).\n\n\n\n## **Deployment Geography:**\n\nGlobal \n\n## **Release Date:**\n\nBuild.Nvidia.com 08/05/2025 via \n[GTP-OSS-20B Model by OpenAI | NVIDIA NIM](https://build.nvidia.com/openai/gpt-oss-20b)\n\nHuggingface 08/05/2025 via \n[https://huggingface.co/openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b)\n\n## **GPT-OSS-20B**\n\nGPT-OSS-20B Container includes the following model:\n\n| Model Name & Link | Use Case | How to Pull the Model |\n| :---- | :---- | :---- |\n| [GPT-OSS-20B](https://catalog.ngc.nvidia.com/orgs/nim/teams/openai/models/gpt-oss-20b) | A model designed for powerful reasoning, agentic tasks, and versatile developer use cases. | Automatic |\n\n## **Deployment Details:**\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## Security Common Vulnerabilities and Exposures (CVEs)\nPlease review the Security Scanning tab on NGC to view the latest security scan results.\nFor 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.\n\n\n## **Ethical Considerations:**\n\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. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.\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### NVIDIA Developer Community Forum\nGet access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)\n\n### Enterprise Support \nGet access to knowledge base articles and support cases or [submit a ticket](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/).","GPT-OSS-20B",["D",1793774391893],[339,337,335,333,331,329,327,325,323,321,319,317,212,314,312,308,306,304,300,298,343,296,302,310],"/api/image/nim/openai/containers/gpt-oss-20b",11975569582,{"_455":456,"_457":458,"_459":460,"_461":26,"_462":463},"hasSignedTag",[446,447],[371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388],[],[363],[],{"_93":364,"_365":364,"_366":367,"_368":369},"signed images","value","filter",{"_370":369,"_365":364},"category","system","field",{"_93":443,"_365":444,"_366":445,"_368":392},{"_93":440,"_365":441,"_366":442,"_368":392},{"_93":437,"_365":438,"_366":439,"_368":392},{"_93":434,"_365":435,"_366":436,"_368":392},{"_93":431,"_365":432,"_366":433,"_368":392},{"_93":428,"_365":429,"_366":430,"_368":392},{"_93":425,"_365":426,"_366":427,"_368":392},{"_93":422,"_365":423,"_366":424,"_368":392},{"_93":419,"_365":420,"_366":421,"_368":392},{"_93":416,"_365":417,"_366":418,"_368":392},{"_93":413,"_365":414,"_366":415,"_368":392},{"_93":410,"_365":411,"_366":412,"_368":392},{"_93":407,"_365":408,"_366":409,"_368":392},{"_93":404,"_365":405,"_366":406,"_368":392},{"_93":401,"_365":402,"_366":403,"_368":392},{"_93":398,"_365":399,"_366":400,"_368":392},{"_93":394,"_365":395,"_366":396,"_368":392},{"_93":389,"_365":390,"_366":391,"_368":392},"RTX PRO 6000 Blackwell Server Edition","gpu_type_rtx_pro_6000_blackwell_server_edition",{"_370":393,"_365":390},"label","gpuType","NVIDIA AI","soln_nvidia_ai",{"_370":397,"_365":395},"technology","L40S","gpu_type_l40s",{"_370":393,"_365":399},"H200 NVL","gpu_type_h200_nvl",{"_370":393,"_365":402},"H200","gpu_type_h200",{"_370":393,"_365":405},"H100 NVL","gpu_type_h100_nvl",{"_370":393,"_365":408},"H100 80GB HBM3","gpu_type_h100_80gb_hbm3",{"_370":393,"_365":411},"GH200 480GB","gpu_type_gh200_480gb",{"_370":393,"_365":414},"GH200 144G HBM3e","gpu_type_gh200_144g_hbm3e",{"_370":393,"_365":417},"GH200 120GB","gpu_type_gh200_120gb",{"_370":393,"_365":420},"GB300","gpu_type_gb300",{"_370":393,"_365":423},"GB200","gpu_type_gb200",{"_370":393,"_365":426},"DGX Spark","gpu_type_dgx_spark",{"_370":393,"_365":429},"B300 SXM6 AC","gpu_type_b300_sxm6_ac",{"_370":393,"_365":432},"B200","gpu_type_b200",{"_370":393,"_365":435},"A10G","gpu_type_a10g",{"_370":393,"_365":438},"A100 SXM4 80GB","gpu_type_a100_sxm4_80gb",{"_370":393,"_365":441},"A100 PG509 200","gpu_type_a100_pg509_200",{"_370":393,"_365":444},{"_93":453,"_365":453,"_366":454,"_368":451},{"_93":448,"_365":449,"_366":450,"_368":451},"NVIDIA NIM","nimmcro_nvidia_nim",{"_370":452,"_365":449},"feature","nvidia_nim","NVIDIA AI Enterprise Supported",{"_370":392,"_365":453},"governingTerms","

GOVERNING DOWNLOAD 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/).

The use of any models in this container is governed by the NVIDIA Open Model License Agreement (found at https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) in addition to any terms which govern the specific models used.

You are responsible for ensuring that your use of any provided models complies with all applicable laws.

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These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. 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These cookies may store a unique ID so that our system will remember you when you return. 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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","OptanonAlertBoxClosed","docs.ngc.nvidia.com","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a normal lifespan of one year and contains no personal information.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","omniverse.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\nThis is a CloudFoundry cookie","OptanonConsent","nvid.nvidia.com","This cookie is set by the cookie compliance solution from OneTrust. It stores information about the categories of cookies the site uses and whether visitors have given or withdrawn consent for the use of each category. This enables site owners to prevent cookies in each category from being set in the users browser, when consent is not given. The cookie has a normal lifespan of one year, so that returning visitors to the site will have their preferences remembered. It contains no information that can identify the site visitor.","_rdt_em","This cookie name is associated with Reddit which is used to manage session state and user interactions.","events.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","sessionid","This is a very generic cookie name that may have different purposes on different sites, but generally it will be some kind of anonymous session identifier.","_csrf","This cookie is used to prevent Cross-Site Request Forgery (CSRF) attacks, ensuring that each request made to the server is from the user's browser and is intentional.","enterprise-support.nvidia.com","renderCtx","academicgrants.nvidia.com","Used to store site parameters in the session for reuse across requests by a single client for functionality and performance reasons.","This cookie is managed by AWS and is used for load balancing.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","nvidiaCart","This domain is owned by NVIDIA Corporation which provides information about the company, its products, solutions, industries, news, events, and career opportunities.","nv_co","__uxq412__ses.88c1","AWS ELB application load balancerUsed to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","learn.learn.nvidia.com","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","This cookie is associated with Akamai. It is used to analyse traffic to determine if it is automated traffic generated by bots or a human user.","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","programs.nvidia.com","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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It is a temporary cookie used to determine if the browser accepts cookies.","XSRF-TOKEN","This cookie is written to help with site security in preventing Cross-Site Request Forgery attacks.This cookie helps with site security in preventing Cross-Site Request Forgery attacks.","bpazaws52gukakzc__ctrl0_ctl78_list_ctl09_systemcaptcha","ph_phc_yQgAEdJJkVpI24NdSRID2mor1x1leRpDoC9yZ9mfXal_posthog","The PostHog ph_phc_xxx cookie is a session cookie used for identifying and tracking visitors on websites, helping us understand user behavior and website performance.","PHPSESSID","PHP session cookie associated with embedded content from this domain.\n","base.manager.learn.nvidia.com","bm_ss","This cookie is used to help protect websites from automated bot traffic.","_devzone_session","This cookie is likely used to maintain a user session on the website by the server. 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