Text Generation
Transformers
Safetensors
PyTorch
English
nvidia
conversational
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Update safety.md

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  |Model Application(s):|Chat, Instruction Following, Chatbot Development, Code Generation, Reasoning|
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  |Describe life critical application (if present):|None Known (please see referenced Known Risks in the Explainability subcard).|
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- |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.|
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  |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.|
 
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  |:---|:---|
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  |Model Application(s):|Chat, Instruction Following, Chatbot Development, Code Generation, Reasoning|
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  |Describe life critical application (if present):|None Known (please see referenced Known Risks in the Explainability subcard).|
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+ |Use Case Restrictions:|Your use of this model is governed by the [NVIDIA Internal Scientific Research and Development Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-internal-scientific-research-and-development-model-license/).|
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  |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.|