diff --git a/CHANGELOG.md b/CHANGELOG.md
index 31f0a012..36020385 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -43,6 +43,7 @@ Inspired from [Keep a Changelog](https://keepachangelog.com/en/1.0.0/)
 - Update model upload history -  opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini (v.1.0.0)(TORCH_SCRIPT) by @dhrubo-os ([#407](https://github.com/opensearch-project/opensearch-py-ml/pull/407))
 - Update model upload history -  opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill (v.1.0.0)(TORCH_SCRIPT) by @dhrubo-os ([#405](https://github.com/opensearch-project/opensearch-py-ml/pull/405))
 - Update model upload history -  opensearch-project/opensearch-neural-sparse-encoding-v2-distill (v.1.0.0)(TORCH_SCRIPT) by @dhrubo-os ([#410](https://github.com/opensearch-project/opensearch-py-ml/pull/410))
+- updating listing file with three v2 sparse model - by @dhrubo-os ([#412](https://github.com/opensearch-project/opensearch-py-ml/pull/412))
 
 ### Fixed
 - Fix the wrong input parameter for model_uploader's base_download_path in jekins trigger.([#402](https://github.com/opensearch-project/opensearch-py-ml/pull/402))
diff --git a/utils/model_uploader/model_listing/pretrained_models_all_versions.json b/utils/model_uploader/model_listing/pretrained_models_all_versions.json
index d785e607..858217d3 100644
--- a/utils/model_uploader/model_listing/pretrained_models_all_versions.json
+++ b/utils/model_uploader/model_listing/pretrained_models_all_versions.json
@@ -171,5 +171,38 @@
         "description": "The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch). Then sort the passages in a decreasing order."
       }
     }
+  },
+  {
+    "name": "amazon/neural-sparse/opensearch-neural-sparse-encoding-doc-v2-distill",
+    "versions": {
+      "1.0.0": {
+        "format": [
+          "torch_script"
+        ],
+        "description": "This is a neural sparse encoding model: It transfers text into sparse vector, and then extract nonzero index and value to entry and weights. It serves only in ingestion and customer should use tokenizer model in query."
+      }
+    }
+  },
+  {
+    "name": "amazon/neural-sparse/opensearch-neural-sparse-encoding-doc-v2-mini",
+    "versions": {
+      "1.0.0": {
+        "format": [
+          "torch_script"
+        ],
+        "description": "This is a neural sparse encoding model: It transfers text into sparse vector, and then extract nonzero index and value to entry and weights. It serves only in ingestion and customer should use tokenizer model in query."
+      }
+    }
+  },
+  {
+    "name": "amazon/neural-sparse/opensearch-neural-sparse-encoding-v2-distill",
+    "versions": {
+      "1.0.0": {
+        "format": [
+          "torch_script"
+        ],
+        "description": "This is a neural sparse encoding model: It transfers text into sparse vector, and then extract nonzero index and value to entry and weights. It serves in both ingestion and search."
+      }
+    }
   }
 ]
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