v2 model

2_Dense/model.safetensors

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 size 1182880

README.md

@@ -22,13 +22,13 @@ language:
 
 ## Introduction
 
-**mdbr-leaf-ir** is a compact high-performance text embedding model specifically designed for **information retrieval (IR)** tasks. 
+`mdbr-leaf-ir` is a compact high-performance text embedding model specifically designed for **information retrieval (IR)** tasks. 
 
 Enabling even greater efficiency, `mdbr-leaf-ir` supports [flexible asymmetric architectures](#asymmetric-retrieval-setup) and is robust to [vector quantization](#vector-quantization) and [MRL truncation](#mrl).
 
 If you are looking to perform other tasks such as classification, clustering, semantic sentence similarity, summarization, please check out our [`mdbr-leaf-mt`](https://huggingface.co/MongoDB/mdbr-leaf-mt) model.
 
-<span style="color:LightGray">**Note**: this model has been developed by MongoDB Research and is not part of MongoDB's commercial offerings.</span>
+Note: this model has been developed by MongoDB Research and is not part of MongoDB's commercial offerings.</span>
 
 ## Technical Report
 

model.safetensors

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sentence_bert_config.json

@@ -1,7 +1,7 @@
 {
-    "max_seq_length": 512,
-    "do_lower_case": false,
-    "model_args": {
-        "add_pooling_layer": false
-    }
+  "max_seq_length": 512,
+  "do_lower_case": false,
+  "model_args": {
+    "add_pooling_layer": false
+  }
 }