diff --git a/tests/entrypoints/llm/test_encode.py b/tests/entrypoints/llm/test_encode.py
index ebec8baba3..a65235ccdf 100644
--- a/tests/entrypoints/llm/test_encode.py
+++ b/tests/entrypoints/llm/test_encode.py
@@ -8,7 +8,7 @@ import pytest
 from vllm import LLM, PoolingParams, PoolingRequestOutput
 from vllm.distributed import cleanup_dist_env_and_memory
 
-MODEL_NAME = "intfloat/e5-mistral-7b-instruct"
+MODEL_NAME = "intfloat/multilingual-e5-small"
 
 PROMPTS = [
     "Hello, my name is",
diff --git a/tests/entrypoints/openai/test_embedding.py b/tests/entrypoints/openai/test_embedding.py
index e86ea87dd6..8d00564351 100644
--- a/tests/entrypoints/openai/test_embedding.py
+++ b/tests/entrypoints/openai/test_embedding.py
@@ -13,7 +13,7 @@ from vllm.transformers_utils.tokenizer import get_tokenizer
 
 from ...utils import RemoteOpenAIServer
 
-MODEL_NAME = "intfloat/e5-mistral-7b-instruct"
+MODEL_NAME = "intfloat/multilingual-e5-small"
 DUMMY_CHAT_TEMPLATE = """{% for message in messages %}{{message['role'] + ': ' + message['content'] + '\\n'}}{% endfor %}"""  # noqa: E501
 
 
diff --git a/tests/entrypoints/openai/test_metrics.py b/tests/entrypoints/openai/test_metrics.py
index 5aa259a4f3..39ce4ba235 100644
--- a/tests/entrypoints/openai/test_metrics.py
+++ b/tests/entrypoints/openai/test_metrics.py
@@ -282,7 +282,7 @@ async def test_metrics_exist(server: RemoteOpenAIServer,
 def test_metrics_exist_run_batch(use_v1: bool):
     if use_v1:
         pytest.skip("Skipping test on vllm V1")
-    input_batch = """{"custom_id": "request-0", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/e5-mistral-7b-instruct", "input": "You are a helpful assistant."}}"""  # noqa: E501
+    input_batch = """{"custom_id": "request-0", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/multilingual-e5-small", "input": "You are a helpful assistant."}}"""  # noqa: E501
 
     base_url = "0.0.0.0"
     port = "8001"
@@ -302,7 +302,7 @@ def test_metrics_exist_run_batch(use_v1: bool):
             "-o",
             output_file.name,
             "--model",
-            "intfloat/e5-mistral-7b-instruct",
+            "intfloat/multilingual-e5-small",
             "--enable-metrics",
             "--url",
             base_url,
diff --git a/tests/entrypoints/openai/test_run_batch.py b/tests/entrypoints/openai/test_run_batch.py
index db049ee2bf..643d0d06ab 100644
--- a/tests/entrypoints/openai/test_run_batch.py
+++ b/tests/entrypoints/openai/test_run_batch.py
@@ -18,10 +18,10 @@ INPUT_BATCH = """{"custom_id": "request-1", "method": "POST", "url": "/v1/chat/c
 INVALID_INPUT_BATCH = """{"invalid_field": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "NousResearch/Meta-Llama-3-8B-Instruct", "messages": [{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello world!"}],"max_tokens": 1000}}
 {"custom_id": "request-2", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "NousResearch/Meta-Llama-3-8B-Instruct", "messages": [{"role": "system", "content": "You are an unhelpful assistant."},{"role": "user", "content": "Hello world!"}],"max_tokens": 1000}}"""
 
-INPUT_EMBEDDING_BATCH = """{"custom_id": "request-1", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/e5-mistral-7b-instruct", "input": "You are a helpful assistant."}}
-{"custom_id": "request-2", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/e5-mistral-7b-instruct", "input": "You are an unhelpful assistant."}}
+INPUT_EMBEDDING_BATCH = """{"custom_id": "request-1", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/multilingual-e5-small", "input": "You are a helpful assistant."}}
+{"custom_id": "request-2", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/multilingual-e5-small", "input": "You are an unhelpful assistant."}}
 
-{"custom_id": "request-3", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/e5-mistral-7b-instruct", "input": "Hello world!"}}
+{"custom_id": "request-3", "method": "POST", "url": "/v1/embeddings", "body": {"model": "intfloat/multilingual-e5-small", "input": "Hello world!"}}
 {"custom_id": "request-4", "method": "POST", "url": "/v1/embeddings", "body": {"model": "NonExistModel", "input": "Hello world!"}}"""
 
 INPUT_SCORE_BATCH = """{"custom_id": "request-1", "method": "POST", "url": "/v1/score", "body": {"model": "BAAI/bge-reranker-v2-m3", "text_1": "What is the capital of France?", "text_2": ["The capital of Brazil is Brasilia.", "The capital of France is Paris."]}}
@@ -37,7 +37,7 @@ def test_empty_file():
         proc = subprocess.Popen([
             sys.executable, "-m", "vllm.entrypoints.openai.run_batch", "-i",
             input_file.name, "-o", output_file.name, "--model",
-            "intfloat/e5-mistral-7b-instruct"
+            "intfloat/multilingual-e5-small"
         ], )
         proc.communicate()
         proc.wait()
@@ -97,7 +97,7 @@ def test_embeddings():
         proc = subprocess.Popen([
             sys.executable, "-m", "vllm.entrypoints.openai.run_batch", "-i",
             input_file.name, "-o", output_file.name, "--model",
-            "intfloat/e5-mistral-7b-instruct"
+            "intfloat/multilingual-e5-small"
         ], )
         proc.communicate()
         proc.wait()
diff --git a/tests/model_executor/test_model_load_with_params.py b/tests/model_executor/test_model_load_with_params.py
index 760a119935..f8efa2eff8 100644
--- a/tests/model_executor/test_model_load_with_params.py
+++ b/tests/model_executor/test_model_load_with_params.py
@@ -14,7 +14,7 @@ MODEL_NAME = os.environ.get("MODEL_NAME", "BAAI/bge-base-en-v1.5")
 REVISION = os.environ.get("REVISION", "main")
 
 MODEL_NAME_ROBERTA = os.environ.get("MODEL_NAME",
-                                    "intfloat/multilingual-e5-large")
+                                    "intfloat/multilingual-e5-small")
 REVISION_ROBERTA = os.environ.get("REVISION", "main")
 
 
@@ -83,7 +83,7 @@ def test_roberta_model_loading_with_params(vllm_runner):
         assert model_config.pooler_config.pooling_norm
 
         # asserts on the tokenizer loaded
-        assert model_tokenizer.tokenizer_id == "intfloat/multilingual-e5-large"
+        assert model_tokenizer.tokenizer_id == "intfloat/multilingual-e5-small"
         assert not model_tokenizer.tokenizer_config["do_lower_case"]
 
         def check_model(model):
diff --git a/tests/models/embedding/language/test_embedding.py b/tests/models/embedding/language/test_embedding.py
index ad6385376d..4b9926860f 100644
--- a/tests/models/embedding/language/test_embedding.py
+++ b/tests/models/embedding/language/test_embedding.py
@@ -17,7 +17,7 @@ from ..utils import check_embeddings_close
         pytest.param("BAAI/bge-base-en-v1.5",
                      marks=[pytest.mark.core_model, pytest.mark.cpu_model]),
         pytest.param("sentence-transformers/all-MiniLM-L12-v2"),
-        pytest.param("intfloat/multilingual-e5-large"),
+        pytest.param("intfloat/multilingual-e5-small"),
         # [Decoder-only]
         pytest.param("BAAI/bge-multilingual-gemma2",
                      marks=[pytest.mark.core_model]),
diff --git a/tests/models/registry.py b/tests/models/registry.py
index 95bda02934..78a65b9387 100644
--- a/tests/models/registry.py
+++ b/tests/models/registry.py
@@ -211,7 +211,7 @@ _EMBEDDING_EXAMPLE_MODELS = {
     "Qwen2ForSequenceClassification": _HfExamplesInfo("jason9693/Qwen2.5-1.5B-apeach"),  # noqa: E501
     "RobertaModel": _HfExamplesInfo("sentence-transformers/stsb-roberta-base-v2"),  # noqa: E501
     "RobertaForMaskedLM": _HfExamplesInfo("sentence-transformers/all-roberta-large-v1"),  # noqa: E501
-    "XLMRobertaModel": _HfExamplesInfo("intfloat/multilingual-e5-large"),
+    "XLMRobertaModel": _HfExamplesInfo("intfloat/multilingual-e5-small"),
     # [Multimodal]
     "LlavaNextForConditionalGeneration": _HfExamplesInfo("royokong/e5-v"),
     "Phi3VForCausalLM": _HfExamplesInfo("TIGER-Lab/VLM2Vec-Full",
diff --git a/tests/test_config.py b/tests/test_config.py
index 8927a14d79..709d60b836 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -13,7 +13,7 @@ from vllm.platforms import current_platform
     ("model_id", "expected_runner_type", "expected_task"),
     [
         ("distilbert/distilgpt2", "generate", "generate"),
-        ("intfloat/e5-mistral-7b-instruct", "pooling", "embed"),
+        ("intfloat/multilingual-e5-small", "pooling", "embed"),
         ("jason9693/Qwen2.5-1.5B-apeach", "pooling", "classify"),
         ("cross-encoder/ms-marco-MiniLM-L-6-v2", "pooling", "score"),
         ("Qwen/Qwen2.5-Math-RM-72B", "pooling", "reward"),
diff --git a/vllm/test_utils.py b/vllm/test_utils.py
index eb9a4d80a2..8611a25922 100644
--- a/vllm/test_utils.py
+++ b/vllm/test_utils.py
@@ -28,7 +28,7 @@ MODELS_ON_S3 = [
     "HuggingFaceM4/Idefics3-8B-Llama3",
     "internlm/internlm2-1_8b-reward",
     "intfloat/e5-mistral-7b-instruct",
-    "intfloat/multilingual-e5-large",
+    "intfloat/multilingual-e5-small",
     "jason9693/Qwen2.5-1.5B-apeach",
     "llava-hf/llava-1.5-7b-hf",
     "llava-hf/llava-onevision-qwen2-0.5b-ov-hf",