diff --git a/litellm/__init__.py b/litellm/__init__.py
index b0099202e4..71a8d2a7d1 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -164,9 +164,16 @@ ai21_models = ["j2-ultra", "j2-mid", "j2-light"]
 nlp_cloud_models = ["dolphin", "chatdolphin"]
 
 together_ai_models = [
+    # llama llms
     "togethercomputer/llama-2-70b-chat",
+    "togethercomputer/llama-2-70b",
+    "togethercomputer/LLaMA-2-7B-32K",
     "togethercomputer/Llama-2-7B-32K-Instruct",
     "togethercomputer/llama-2-7b",
+    "togethercomputer/CodeLlama-34b",
+    "togethercomputer/CodeLlama-34b-Instruct",
+    "togethercomputer/CodeLlama-34b-Python",
+
 ] # supports all together ai models, just pass in the model id e.g. completion(model="together_computer/replit_code_3b",...)
 
 aleph_alpha_models = [
diff --git a/litellm/utils.py b/litellm/utils.py
index b093a1b4a6..7499092ea3 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -880,7 +880,7 @@ def get_optional_params(  # use the openai defaults
         if max_tokens != float("inf"):
             optional_params["max_tokens"] = max_tokens
         if frequency_penalty != 0:
-            optional_params["frequency_penalty"] = frequency_penalty # should be repetition penalty
+            optional_params["frequency_penalty"] = frequency_penalty # TODO: Check if should be repetition penalty
         if stop != None:
             optional_params["stop"] = stop #TG AI expects a list, example ["\n\n\n\n","<|endoftext|>"]
     elif (