nvidia
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llama-3.2-nv-embedqa-1b-v2

Feature Extraction

text-embeddings

semantic-search

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BoLiu commited on 14 days ago

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@@ -281,6 +281,6 @@ Visit the [NeMo Retriever docs page](https://docs.nvidia.com/nemo/retriever/inde
 | ----- | ----- |
 | Model Application(s): | Text Embedding for Retrieval |
 | Describe the physical safety impact (if present). | Not Applicable |
-| Use Case Restrictions: | Abide by [NVIDIA AI Foundation Models Community License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-community-models-license/).   |
 | 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. |

 | ----- | ----- |
 | Model Application(s): | Text Embedding for Retrieval |
 | Describe the physical safety impact (if present). | Not Applicable |
+| Use Case Restrictions: | Abide by [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).   |
 | 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. |