| Model Application Field(s): |
Customer Service, Media & Entertainment, Enterprise Document Intelligence and Processing & Retail |
| Describe the life critical impact (if present). |
Not Applicable |
| Description of methods implemented in data acquisition or processing, if any, to address other types of potentially harmful data in the training, testing, and validation data: |
We used a guard model for content safety to exclude potentially harmful data from training. |
| Description of any methods implemented in data acquisition or processing, if any, to address illegal or harmful content in the training data, including, but not limited to, child sexual abuse material (CSAM) and non-consensual intimate imagery (NCII) |
We used a Gemma-3 4B-based guard model trained on Nemotron Content Safety Dataset v2 for content safety to exclude potentially illegal or harmful content from the training. We also did CSAM checks on our image datasets for training. |
| Use Case Restrictions: |
Use of this model is governed by the NVIDIA Open Model License Agreement |
| Model and dataset restrictions: |
The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. |
| This AI model was developed based on our policies to ensure responsible data handling and risk mitigation. The datasets used for training have been scanned for harmful content and illegal content, consistent with our policies including scanning for Child Sexual Abuse Material (CSAM). Ongoing review and monitoring mechanisms are in place based on our policies and to maintain data integrity. |
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| The model was optimized explicitly for instruction following and as such is more susceptible to prompt injection and jailbreaking in various forms as a result of its instruction tuning. This means that the model should be paired with additional rails or system filtering to limit exposure to instructions from malicious sources -- either directly or indirectly by retrieval (e.g. via visiting a website) -- as they may yield outputs that can lead to harmful, system-level outcomes up to and including remote code execution in agentic systems when effective security controls including guardrails are not in place. The model may generate answers that may be inaccurate, omit key information, include irrelevant or redundant text, or produce socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive. |
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