diff --git a/tests/llm_translation/test_text_completion_unit_tests.py b/tests/llm_translation/test_text_completion_unit_tests.py
index ca239ebd48..c63bf7339b 100644
--- a/tests/llm_translation/test_text_completion_unit_tests.py
+++ b/tests/llm_translation/test_text_completion_unit_tests.py
@@ -102,7 +102,7 @@ async def test_huggingface_text_completion_logprobs():
     client = AsyncHTTPHandler()
     with patch.object(client, "post", return_value=return_val) as mock_post:
         response = await litellm.atext_completion(
-            model="huggingface/mistralai/Mistral-7B-v0.1",
+            model="huggingface/mistralai/Mistral-7B-Instruct-v0.3",
             prompt="good morning",
             client=client,
         )
diff --git a/tests/local_testing/test_text_completion.py b/tests/local_testing/test_text_completion.py
index cf78b4b3d6..11c43de2cc 100644
--- a/tests/local_testing/test_text_completion.py
+++ b/tests/local_testing/test_text_completion.py
@@ -3940,7 +3940,7 @@ def test_completion_hf_prompt_array():
         litellm.set_verbose = True
         print("\n testing hf mistral\n")
         response = text_completion(
-            model="huggingface/mistralai/Mistral-7B-v0.1",
+            model="huggingface/mistralai/Mistral-7B-Instruct-v0.3",
             prompt=token_prompt,  # token prompt is a 2d list,
             max_tokens=0,
             temperature=0.0,
@@ -3971,7 +3971,7 @@ def test_text_completion_stream():
     try:
         for _ in range(2):  # check if closed client used
             response = text_completion(
-                model="huggingface/mistralai/Mistral-7B-v0.1",
+                model="huggingface/mistralai/Mistral-7B-Instruct-v0.3",
                 prompt="good morning",
                 stream=True,
                 max_tokens=10,