diff --git a/fastembed/text/onnx_embedding.py b/fastembed/text/onnx_embedding.py
index 1e9978f75..de1f4e0b6 100644
--- a/fastembed/text/onnx_embedding.py
+++ b/fastembed/text/onnx_embedding.py
@@ -180,6 +180,19 @@
         sources=ModelSource(hf="jinaai/jina-clip-v1"),
         model_file="onnx/text_model.onnx",
     ),
+    DenseModelDescription(
+        model="intfloat/multilingual-e5-large-instruct",
+        dim=1024,
+        description=(
+            "Text embeddings, Unimodal (text), Multilingual, 512 input tokens truncation, "
+            "Prefixes for queries/documents: necessary, 2024 year."
+        ),
+        license="mit",
+        size_in_GB=2.25,
+        sources=ModelSource(hf="intfloat/multilingual-e5-large-instruct"),
+        model_file="onnx/model.onnx",
+        additional_files=["onnx/model.onnx_data"]
+    )
 ]
 
 
diff --git a/tests/test_text_onnx_embeddings.py b/tests/test_text_onnx_embeddings.py
index cdd22d79a..f81d9034f 100644
--- a/tests/test_text_onnx_embeddings.py
+++ b/tests/test_text_onnx_embeddings.py
@@ -36,6 +36,7 @@
         [0.0361, 0.1862, 0.2776, 0.2461, -0.1904]
     ),
     "intfloat/multilingual-e5-large": np.array([0.4544, -0.0968, 0.1054, -1.3753, 0.1500]),
+    "intfloat/multilingual-e5-large-instruct": np.array([0.01044649, 0.02897520, 0.00060697, -0.04193532, 0.02606634]),
     "sentence-transformers/paraphrase-multilingual-mpnet-base-v2": np.array(
         [0.0047, 0.1334, -0.0102, 0.0714, 0.1930]
     ),