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bias.md

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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|

privacy.md

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+|Field:|Response:|
+|:---|:---|
+|Generatable or Reverse engineerable personally-identifiable information?|None|
+|Was consent obtained for any personal data used?|None Known|
+|Personal data used to create this model?|None Known|
+|How often is dataset reviewed?|Before Release|
+|Is there provenance for all datasets used in training?|Yes|
+|Does data labeling (annotation, metadata) comply with privacy laws?|Yes|
+|Applicable NVIDIA Privacy Policy|https://www.nvidia.com/en-us/about-nvidia/privacy-policy/|

safety.md

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+|Field:|Response:|
+|:---|:---|
+|Model Application(s):|Chat, Instruction Following, Chatbot Development, Code Generation, Reasoning|
+|Describe life critical application (if present):|None Known (please see referenced Known Risks in the Explainability subcard).|
+|Use Case Restrictions:|Your use of this model is governed by the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Llama 3.1 Community License Agreement](https://www.llama.com/llama3_1/license/). Built with Llama.|
+|Model and Dataset Restrictions:|The Principle of least privilege (PoLP) is applied limiting access for dataset generation.  Restrictions enforce dataset access during training, and dataset license constraints adhered to. Model checkpoints are made available on Hugging Face and NGC, and may become available on cloud providers' model catalog.|