diff --git a/fastembed/text/pooled_embedding.py b/fastembed/text/pooled_embedding.py
index f3fe607e..83364457 100644
--- a/fastembed/text/pooled_embedding.py
+++ b/fastembed/text/pooled_embedding.py
@@ -70,6 +70,20 @@
         sources=ModelSource(hf="xenova/paraphrase-multilingual-mpnet-base-v2"),
         model_file="onnx/model.onnx",
     ),
+    DenseModelDescription(
+        model="intfloat/multilingual-e5-small",
+        dim=384,
+        description=(
+            "Text embeddings, Unimodal (text), Multilingual (~100 languages), 512 input tokens truncation, "
+            "Prefixes for queries/documents: necessary, 2024 year."
+        ),
+        license="mit",
+        size_in_GB=0.47,
+        sources=ModelSource(
+            hf="intfloat/multilingual-e5-small",
+        ),
+        model_file="onnx/model.onnx",
+    ),
     DenseModelDescription(
         model="intfloat/multilingual-e5-large",
         dim=1024,
diff --git a/tests/test_text_onnx_embeddings.py b/tests/test_text_onnx_embeddings.py
index 8744b617..a726b51d 100644
--- a/tests/test_text_onnx_embeddings.py
+++ b/tests/test_text_onnx_embeddings.py
@@ -37,6 +37,7 @@
     "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2": np.array(
         [0.0361, 0.1862, 0.2776, 0.2461, -0.1904]
     ),
+    "intfloat/multilingual-e5-small": np.array([0.1460, 0.1443, -0.1638, -0.3137, 0.3968]),
     "intfloat/multilingual-e5-large": np.array([0.4544, -0.0968, 0.1054, -1.3753, 0.1500]),
     "sentence-transformers/paraphrase-multilingual-mpnet-base-v2": np.array(
         [0.0047, 0.1334, -0.0102, 0.0714, 0.1930]