Update README.md

README.md

@@ -36,7 +36,7 @@ The Llama 3.2 NeMo Retriever Embedding 1B model is most suitable for users who w
 
 ### **License/Terms of use**
 
-The use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and Llama 3.2 is licensed under the [Llama 3.2 Community License](https://www.llama.com/llama3_2/license/), Copyright © Meta Platforms, Inc. All Rights Reserved.
+Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Llama 3.2 Community Model License Agreement](https://www.llama.com/llama3_2/license/).
 
 **You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.**
 
@@ -254,7 +254,7 @@ Visit the [NeMo Retriever docs page](https://docs.nvidia.com/nemo/retriever/inde
 | Describe how the model works: | Model transforms the tokenized input text into a dense vector representation. |
 | Performance Metrics: | Accuracy, Throughput, and Latency |
 | Potential Known Risks: | This model does not always guarantee to retrieve the correct passage(s) for a given query. |
-| Licensing & Terms of Use: | The use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and Llama 3.2 is licensed under the [Llama 3.2 Community License](https://www.llama.com/llama3_2/license/), Copyright © Meta Platforms, Inc. All Rights Reserved. |
+| Licensing & Terms of Use: | Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Llama 3.2 Community Model License Agreement](https://www.llama.com/llama3_2/license/). |
 | Technical Limitations | The model’s max sequence length is 8192. Therefore, the longer text inputs should be truncated.   |
 | Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | N/A |
 | Verified to have met prescribed NVIDIA quality standards: | Yes |
@@ -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 Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).   |
+| Use Case Restrictions: | Use of this model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Llama 3.2 Community Model License Agreement](https://www.llama.com/llama3_2/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. |