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Field	Response
Participation considerations from adversely impacted groups protected classes in model design and testing:	None
Measures taken to mitigate against unwanted bias:	None

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Cosmos-1.0-Prompt-Upsampler-12B-Text2World

Cosmos | Code | Paper

Description:

Cosmos-1.0-Prompt-Upsampler-12B-Text2World is a large language model (LLM) designed to transform original input prompts into more detailed and enriched versions. It improves the prompts by adding more details and maintaining a consistent description structure before they are used in a text-to-world model, which generally leads to higher quality outputs. This model is ready for commercial use.

License:

This model is released under the NVIDIA Open Model License. For a custom license, please contact cosmos-license@nvidia.com.

Under the NVIDIA Open Model License, NVIDIA confirms:

Models are commercially usable.
You are free to create and distribute Derivative Models.
NVIDIA does not claim ownership to any outputs generated using the Models or Derivative Models.

Important Note: If you bypass, disable, reduce the efficacy of, or circumvent any technical limitation, safety guardrail or\nassociated safety guardrail hyperparameter, encryption, security, digital rights management, or authentication mechanism contained\nin the Model, your rights under NVIDIA Open Model License Agreement will automatically terminate.

Model Architecture:

Architecture Type: Transformer
\nNetwork Architecture: Mistral-NeMo-12B-Instruct

Input:

Input Type(s): Text
\nInput Format: String
\nInput Parameters: One-dimensional (1D)
\nOther Properties Related to Input: Max of 512 tokens

Output:

Output Type(s): Text
\nOutput Format: String
\nOutput Parameters: One-dimensional (1D)
\nOther Properties Related to Output: Max of 512 tokens

Software Integration:

Runtime Engine(s):

Cosmos

Supported Hardware Microarchitecture Compatibility:

NVIDIA Ampere
NVIDIA Hopper
\nSupported Operating System(s): Linux

Model Version:

The initial release (v1.0) of Cosmos Prompt Upsampler contains the following model:

Cosmos-1.0-Prompt-Upsampler-12B-Text2World

Usage

See Cosmos for on how to use the model.

Example:

Input: \"A dog is playing with a ball.\"
Output: \"The video is a close-up, dynamic scene featuring a dog interacting with a ball. The setting is a simple, indoor environment with a plain, light-colored wall in the background. The dog, a medium-sized breed with a light brown coat and a white chest, is the central focus. It is actively engaged in playing with a small, red ball. The dog's ears are perked up, and its mouth is open, indicating excitement and playfulness. Throughout the video, the dog is seen holding the ball in its mouth, occasionally shaking its head and moving its body in a playful manner. The camera remains static, capturing the dog's movements from a consistent angle, allowing the viewer to focus on the dog's expressions and actions. The lighting is bright and even, highlighting the dog's fur and the vibrant color of the ball. The dog's tail is wagging, adding to the sense of joy and energy in the scene. The video captures the essence of a playful interaction between a pet and its owner, emphasizing the bond and the simple joy of playtime.\"

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 model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

For more detailed information on ethical considerations for this model, please see the subcards of Explainability, Bias, Safety & Security, and Privacy below. Please report security vulnerabilities or NVIDIA AI Concerns here.

","resourceVersions","resourceVersionsTotal","hasMoreVersions","versionMetadata","versionNotFound","isLoggedIn","latestVersionPath","/orgs/nvidia/cosmos/models/cosmos-1.0-prompt-upsampler-12b-text2world/-","version","-","imageReference","cliDownloadCommand","ngc registry model download-version nvidia/cosmos/cosmos-1.0-prompt-upsampler-12b-text2world:1.0","helmFetchCommand","viewAllVersionsPath","/orgs/nvidia/cosmos/models/cosmos-1.0-prompt-upsampler-12b-text2world/-/version-history","accessCheckResult",{"_105":106,"_107":20},"hasRelatedCollections",true,"context",{"_101":102,"_103":104},1787631977686,[],[],[94,95,96,97,98,99],{"_33":48,"_35":55,"_37":56,"_39":57,"_41":58,"_43":44},{"_33":48,"_35":52,"_37":38,"_39":53,"_41":54,"_43":44},{"_33":48,"_35":51,"_37":38,"_39":53,"_41":58,"_43":44},{"_33":48,"_35":49,"_37":56,"_39":57,"_41":100,"_43":44},{"_33":45,"_35":46,"_37":38,"_39":40,"_41":47,"_43":44},{"_33":34,"_35":36,"_37":38,"_39":40,"_41":42,"_43":44},62,"orgName","nvidia","teamName","cosmos","reason","login_required","allowed","id","nvidia/cosmos/cosmos-1.0-prompt-upsampler-12b-text2world","key","nvidia/cosmos/models/cosmos-1.0-prompt-upsampler-12b-text2world","resourceType","models","resourceId","cosmos-1.0-prompt-upsampler-12b-text2world","shortDescription","This is a large language model (LLM) designed to transform original input prompts into more detailed and enriched versions.","description","# **Cosmos-1.0-Prompt-Upsampler-12B-Text2World**\n\n[**Cosmos**](https://huggingface.co/collections/nvidia/cosmos-6751e884dc10e013a0a0d8e6) | [**Code**](https://github.com/NVIDIA/Cosmos) | [**Paper**](https://research.nvidia.com/publication/2025-01_cosmos-world-foundation-model-platform-physical-ai)\n\n\n## Description:\n\nCosmos-1.0-Prompt-Upsampler-12B-Text2World is a large language model (LLM) designed to transform original input prompts into more detailed and enriched versions. It improves the prompts by adding more details and maintaining a consistent description structure before they are used in a text-to-world model, which generally leads to higher quality outputs. This model is ready for commercial use.\n\n### License:\nThis model is released under the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license). For a custom license, please contact [cosmos-license@nvidia.com](mailto:cosmos-license@nvidia.com).\n\nUnder the NVIDIA Open Model License, NVIDIA confirms:\n\n* Models are commercially usable.\n* You are free to create and distribute Derivative Models.\n* NVIDIA does not claim ownership to any outputs generated using the Models or Derivative Models.\n\n**Important Note**: If you bypass, disable, reduce the efficacy of, or circumvent any technical limitation, safety guardrail or\nassociated safety guardrail hyperparameter, encryption, security, digital rights management, or authentication mechanism contained\nin the Model, your rights under [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license) will automatically terminate.\n\n## Model Architecture:\n**Architecture Type:** Transformer
\n**Network Architecture:** [Mistral-NeMo-12B-Instruct](https://huggingface.co/nvidia/Mistral-NeMo-12B-Instruct)
\n\n## Input:\n**Input Type(s):** Text
\n**Input Format:** String
\n**Input Parameters:** One-dimensional (1D)
\n**Other Properties Related to Input:** Max of 512 tokens
\n\n## Output:\n**Output Type(s):** Text
\n**Output Format:** String
\n**Output Parameters:** One-dimensional (1D)
\n**Other Properties Related to Output:** Max of 512 tokens
\n\n\n## Software Integration:\n**Runtime Engine(s):**\n* [Cosmos](https://github.com/NVIDIA/Cosmos)\n\n**Supported Hardware Microarchitecture Compatibility:**
\n* NVIDIA Ampere
\n* NVIDIA Hopper
\n**Supported Operating System(s):** Linux
\n\n## Model Version:\nThe initial release (v1.0) of Cosmos Prompt Upsampler contains the following model:\n- [Cosmos-1.0-Prompt-Upsampler-12B-Text2World](https://huggingface.co/nvidia/Cosmos-1.0-Prompt-Upsampler-12B-Text2World)\n\n# Usage\n\nSee [Cosmos](https://github.com/NVIDIA/Cosmos) for on how to use the model.\n\n\nExample:\n\n* Input: `\"A dog is playing with a ball.\"`\n* Output: `\"The video is a close-up, dynamic scene featuring a dog interacting with a ball. The setting is a simple, indoor environment with a plain, light-colored wall in the background. The dog, a medium-sized breed with a light brown coat and a white chest, is the central focus. It is actively engaged in playing with a small, red ball. The dog's ears are perked up, and its mouth is open, indicating excitement and playfulness. Throughout the video, the dog is seen holding the ball in its mouth, occasionally shaking its head and moving its body in a playful manner. The camera remains static, capturing the dog's movements from a consistent angle, allowing the viewer to focus on the dog's expressions and actions. The lighting is bright and even, highlighting the dog's fur and the vibrant color of the ball. The dog's tail is wagging, adding to the sense of joy and energy in the scene. The video captures the essence of a playful interaction between a pet and its owner, emphasizing the bond and the simple joy of playtime.\"`\n\n\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. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.\n\nFor more detailed information on ethical considerations for this model, please see the subcards of Explainability, Bias, Safety & Security, and Privacy below. Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).","displayName","Cosmos-1.0-Prompt-Upsampler-12B-Text2World","updatedDate",["D",1736232688104],"publisher","NVIDIA","latestVersion","1.0","versions","collectionCounts","imageUrl","/api/image/nvidia/cosmos/models/cosmos-1.0-prompt-upsampler-12b-text2world","rawImageUrl","https://nvdam.widen.net/content/xbsnft8sm2/jpeg/cosmos-thumbnail-274x152.jpeg?position=c&color=ffffffff&quality=100&u=hdilxr&use=c2ccj","canGuestDownload","latestVersionSizeInBytes",24505161854,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","Field | Response\n:---------------------------------------------------------------------------------------------------|:---------------\nParticipation considerations from adversely impacted groups [protected classes](https://www.senate.ca.gov/content/protected-classes) in model design and testing: | None\nMeasures taken to mitigate against unwanted bias: | None","explainability","Field | Response\n:------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------\nIntended Application & Domain: | Text prompt enrichment for world generation\nModel Type: | Transformer\nIntended Users: | Generative AI developers for world generation models\nOutput: | Text\nDescribe how the model works: | Transform original input prompts into more detailed and enriched versions\nTechnical Limitations: | The model may not follow input text prompt accurately and may have incorrect responses or generate incorrect information.\nVerified to have met prescribed NVIDIA quality standards: | Yes\nPerformance Metrics: | Human Evaluation\nPotential Known Risks: | The model's output can generate all forms of text, including what may be considered toxic, offensive, or indecent.\nLicensing: | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license)","privacy","Field | Response\n:----------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------\nGeneratable or reverse engineerable personal information? | None Known\nProtected class data used to create this model? | None Known\nWas consent obtained for any personal data used? | None Known\nHow often is dataset reviewed? | Before Release\nIs a mechanism in place to honor data subject right of access or deletion of personal data? | Not Applicable\nIf personal data was collected for the development of the model, was it collected directly by NVIDIA? | Not Applicable\nIf personal data was collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | Not Applicable\nIf personal data was collected for the development of this AI model, was it minimized to only what was required? | Not Applicable\nIs there provenance for all datasets used in training? | Yes\nDoes data labeling (annotation, metadata) comply with privacy laws? | Yes\nIs data compliant with data subject requests for data correction or removal, if such a request was made? | Not Applicable","safetyAndSecurity","Field | Response\n:---------------------------------------------------|:----------------------------------\nModel Application(s): | Prompt enrichment for world generation\nDescribe the life critical impact (if present). | None Known\nUse Case Restrictions: | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license)\nModel and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. 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This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","investor.nvidia.com","This cookie is associated with Eventbrite and is used to deliver content tailored to the end user's interests and improve content creation. This cookie is also used for event-booking purposes.","_gat_gtag_UA_140825383_2","Google Analytics","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","catalog.ngc.nvidia.com","_uetsid","This cookie is used by Bing to determine what ads should be shown that may be relevant to the end user perusing the site. 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It helps track your activity on the platform, including how you interact with their embedded services on other websites.","C0003","Personalization Cookies","These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. 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. If you do not allow these cookies, then some or all of these services may not function properly.",4,[478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502],[449,450,451,452,453],{"_286":362,"_120":362,"_118":288,"_260":473},{"_286":336,"_120":336,"_118":288,"_260":468},{"_286":463,"_120":463,"_118":288,"_260":464},{"_286":458,"_120":458,"_118":288,"_260":459},{"_286":454,"_120":454,"_118":288,"_260":455},"nvidia.partners",[456],{"_254":457,"_293":454,"_294":20,"_118":330},"edge","app.hushly.com",[460],{"_254":461,"_293":458,"_294":20,"_118":462},"*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",[465],{"_254":466,"_293":463,"_294":20,"_118":467},"_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.",[561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589],[541,542,543,544],{"_286":556,"_120":556,"_118":288,"_260":557},{"_286":551,"_120":551,"_118":288,"_260":552},{"_286":349,"_120":349,"_118":288,"_260":548},{"_286":463,"_120":463,"_118":288,"_260":545},[546],{"_254":547,"_293":463,"_294":87,"_118":467},"_gh_sess",[549],{"_254":550,"_293":349,"_294":87,"_118":356},"YSC","bizible.com",[553],{"_254":554,"_293":551,"_294":20,"_118":555},"_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",[558],{"_254":559,"_293":556,"_294":20,"_118":560},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_254":631,"_293":408,"_294":20,"_118":632},{"_254":616,"_293":630,"_294":87,"_118":617},{"_254":599,"_293":411,"_294":20,"_118":524},{"_254":599,"_293":512,"_294":20,"_118":524},{"_254":628,"_293":408,"_294":20,"_118":629},{"_254":616,"_293":414,"_294":87,"_118":617},{"_254":626,"_293":408,"_294":20,"_118":627},{"_254":616,"_293":411,"_294":87,"_118":617},{"_254":624,"_293":511,"_294":20,"_118":625},{"_254":616,"_293":533,"_294":87,"_118":617},{"_254":596,"_293":411,"_294":20,"_118":598},{"_254":622,"_293":408,"_294":87,"_118":623},{"_254":620,"_293":408,"_294":20,"_118":621},{"_254":618,"_293":408,"_294":87,"_118":619},{"_254":616,"_293":507,"_294":87,"_118":617},{"_254":614,"_293":408,"_294":20,"_118":615},{"_254":612,"_293":408,"_294":20,"_118":613},{"_254":610,"_293":408,"_294":87,"_118":611},{"_254":608,"_293":516,"_294":20,"_118":609},{"_254":596,"_293":507,"_294":20,"_118":598},{"_254":606,"_293":408,"_294":20,"_118":607},{"_254":604,"_293":408,"_294":87,"_118":605},{"_254":602,"_293":408,"_294":20,"_118":603},{"_254":600,"_293":408,"_294":20,"_118":601},{"_254":599,"_293":408,"_294":20,"_118":524},{"_254":596,"_293":597,"_294":20,"_118":598},{"_254":594,"_293":408,"_294":20,"_118":595},{"_254":592,"_293":408,"_294":87,"_118":593},{"_254":590,"_293":408,"_294":20,"_118":591},"_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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