diff --git a/config.json b/config.json
index f02e8048138f12657ba561db7e2022d5f3f24908..22182b995c80beb3c272c8f73a9f82dcbf0232c9 100644
--- a/config.json
+++ b/config.json
@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "Alibaba-NLP/gte-modernbert-base",
   "architectures": [
     "ModernBertModel"
   ],
@@ -36,12 +35,11 @@
   "num_hidden_layers": 22,
   "pad_token_id": 50283,
   "position_embedding_type": "absolute",
-  "reference_compile": true,
   "repad_logits_with_grad": false,
   "sep_token_id": 50282,
   "sparse_pred_ignore_index": -100,
   "sparse_prediction": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.49.0",
+  "transformers_version": "4.51.3",
   "vocab_size": 50368
 }
diff --git a/config_sentence_transformers.json b/config_sentence_transformers.json
index 527b8535eb77aab8eb5844fd682dea71d39cd454..dbbee0e187afd1c4b39d2f21d997867acb365d26 100644
--- a/config_sentence_transformers.json
+++ b/config_sentence_transformers.json
@@ -1,8 +1,8 @@
 {
   "__version__": {
-    "sentence_transformers": "3.4.1",
-    "transformers": "4.49.0",
-    "pytorch": "2.5.1+cu124"
+    "sentence_transformers": "4.1.0",
+    "transformers": "4.51.3",
+    "pytorch": "2.6.0+cu124"
   },
   "prompts": {},
   "default_prompt_name": null,
diff --git a/openvino/openvino_model.bin b/openvino/openvino_model.bin
new file mode 100644
index 0000000000000000000000000000000000000000..fcf3a23f1b10f5b6d639661c94d4272a233a3a04
--- /dev/null
+++ b/openvino/openvino_model.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8463d309f5f9f72f370db7ea48a7eca5a7b16373c94b5162a273032a5b98587
+size 596057572
diff --git a/openvino/openvino_model.xml b/openvino/openvino_model.xml
new file mode 100644
index 0000000000000000000000000000000000000000..661336b461a91d66f77fd9e955b59a5c47ad02a5
--- /dev/null
+++ b/openvino/openvino_model.xml
@@ -0,0 +1,27513 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="1" name="input_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="input_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.embeddings.tok_embeddings.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="50368, 768" offset="0" size="154730496" />
+			<output>
+				<port id="0" precision="FP32" names="self.embeddings.tok_embeddings.weight">
+					<dim>50368</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.embeddings.tok_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.embeddings.tok_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="154730496" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="5" name="__module.embeddings.tok_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>50368</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="170">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="__module.embeddings.norm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="154730500" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.embeddings.norm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_68434" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="154730504" size="3072" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.embeddings.norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="173,input.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="self.layers.0.attn.Wqkv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2304, 768" offset="154733576" size="7077888" />
+			<output>
+				<port id="0" precision="FP32" names="self.layers.0.attn.Wqkv.weight">
+					<dim>2304</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.layers.0.attn.Wqkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2304</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="202,qkv.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Constant_72296" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="161811464" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.layers.0.attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2304</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="205,qkv.3">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.layers.0.attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="5" offset="161811504" size="20" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.layers.0.attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="234">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="187" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="161811524" size="8" />
+			<output>
+				<port id="0" precision="I64" names="187" />
+			</output>
+		</layer>
+		<layer id="17" name="__module.layers.0.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
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+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
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+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.layers.0.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
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+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.layers.0.attn.rotary_emb/aten::to/Convert_2" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1" offset="161811532" size="128" />
+			<output>
+				<port id="0" precision="FP32" names="219,inv_freq_expanded.3">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+				</port>
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+		<layer id="20" name="aten::arange/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="154730496" size="4" />
+			<output>
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+		<layer id="21" name="ShapeOf_72034" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+		<layer id="22" name="Constant_72035" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="161811660" size="8" />
+			<output>
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+			<data element_type="i64" shape="" offset="161811668" size="8" />
+			<output>
+				<port id="0" precision="I64" />
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+		</layer>
+		<layer id="24" name="Gather_72037" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
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+			<data element_type="i32" shape="" offset="161811676" size="4" />
+			<output>
+				<port id="0" precision="I32" />
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+		<layer id="29" name="aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
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+					<dim>-1</dim>
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+		<layer id="30" name="189" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="161811660" size="8" />
+			<output>
+				<port id="0" precision="I64" names="189" />
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+		</layer>
+		<layer id="31" name="__module.layers.0.attn.rotary_emb/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>-1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
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+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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+	</edges>
+	<rt_info>
+		<Runtime_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<optimum>
+			<optimum_intel_version value="1.23.0" />
+			<optimum_version value="1.25.3" />
+			<pytorch_version value="2.6.0" />
+			<transformers_version value="4.51.3" />
+		</optimum>
+	</rt_info>
+</net>
diff --git a/tokenizer_config.json b/tokenizer_config.json
index f5ed0d3185a38fb4f99fe90f33e10af6855866db..9f6e5c70b46122740fe7db666d3709a53906af2a 100644
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -933,13 +933,20 @@
   "cls_token": "[CLS]",
   "extra_special_tokens": {},
   "mask_token": "[MASK]",
+  "max_length": 8192,
   "model_input_names": [
     "input_ids",
     "attention_mask"
   ],
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 8192,
+  "pad_to_multiple_of": null,
   "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "[SEP]",
+  "stride": 0,
   "tokenizer_class": "PreTrainedTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }