Update README.md

README.md

@@ -70,12 +70,11 @@ The technical report for the `llama-embed-nemotron-8b` model will be published s
 | Model Name                                | Use Case               | Comment                                                                         |
 |-------------------------------------------|------------------------|---------------------------------------------------------------------------------|
 | [nvidia/omni-embed-nemotron-3b](https://huggingface.co/nvidia/omni-embed-nemotron-3b) | Research-Only          | Omni-Modal Embedding Model for Retrieving Text, Images, Audio, or Video                    |
-| [nvidia/llama-NemoRetriever-ColEmbed-1B-v1](https://huggingface.co/nvidia/llama-nemoretriever-colembed-1b-v1) | Research-Only          | Smaller Version of nvidia/llama-NemoRetriever-ColEmbed-3B-v1                    |
 | [nvidia/llama-NemoRetriever-ColEmbed-3B-v1](https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1) | Research-Only          | #1 ViDoRe V1, V2 and MTEB VisualDocumentRetrieval as of June 27, 2025           |
+| [nvidia/llama-3.2-nv-embedqa-1b-v2](https://huggingface.co/nvidia/llama-3.2-nv-embedqa-1b-v2)                | Commercial Application | Text Embedding Model for Production Use Case of Text Document Retrieval         |
+| [nvidia/llama-3.2-nv-rerankqa-1b-v2](https://huggingface.co/nvidia/llama-3.2-nv-rerankqa-1b-v2)               | Commercial Application | Text Reranker Model for Production Use Case of Text Document Retrieval          |
 | [llama-3_2-nemoretriever-1b-vlm-embed-v1](https://build.nvidia.com/nvidia/llama-3_2-nemoretriever-1b-vlm-embed-v1)   | Commercial Application | MultiModal Embedding Model for Production Use Case of Visual Document Retrieval |
-| [llama-3_2-nv-embedqa-1b-v2](https://build.nvidia.com/nvidia/llama-3_2-nv-embedqa-1b-v2)                | Commercial Application | Text Embedding Model for Production Use Case of Text Document Retrieval         |
-| [llama-3_2-nemoretriever-500m-rerank-v2](https://build.nvidia.com/nvidia/llama-3_2-nemoretriever-500m-rerank-v2)    | Commercial Application | Text Reranker Model for Production Use Case of Text Document Retrieval          |
-| [llama-3_2-nv-rerankqa-1b-v2](https://build.nvidia.com/nvidia/llama-3_2-nv-rerankqa-1b-v2)               | Commercial Application | Text Reranker Model for Production Use Case of Text Document Retrieval          |
+| [nvidia/llama-NemoRetriever-ColEmbed-1B-v1](https://huggingface.co/nvidia/llama-nemoretriever-colembed-1b-v1) | Research-Only          | Smaller Version of nvidia/llama-NemoRetriever-ColEmbed-3B-v1                    |
 | [nvidia/NV-Embed-v2](https://huggingface.co/nvidia/NV-Embed-v2)                        | Research-Only          | #1 MTEB as of Aug 30, 2024                                                      |
 | [nvidia/MM-Embed](https://huggingface.co/nvidia/MM-Embed)                           | Research-Only          | Improved nvidia/NV-Embed-v1 and multimodal embeddings                           |
 | [nvidia/NV-Retriever-v1](https://huggingface.co/nvidia/NV-Retriever-v1)                    | Research-Only          | #1 MTEB BEIR as of July 12, 2024