diff --git a/litellm/utils.py b/litellm/utils.py
index e8e2b57b3..f419ebcd3 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2206,7 +2206,9 @@ def get_optional_params(  # use the openai defaults
         if max_tokens is not None:
             optional_params["max_output_tokens"] = max_tokens
     elif custom_llm_provider == "sagemaker":
-        if "llama-2" in model:
+        if "llama-2" in model.lower() or (
+            "llama" in model.lower() and "2" in model.lower() # some combination of llama and "2" should exist
+        ): # jumpstart can also send "Llama-2-70b-chat-hf-48xlarge"
             # llama-2 models on sagemaker support the following args
             """
             max_new_tokens: Model generates text until the output length (excluding the input context length) reaches max_new_tokens. If specified, it must be a positive integer.