set default model properly

playground/agents/use_cases/weather/main.py

@@ -12,7 +12,7 @@ weather_api_key= "af6ef989b5c50a91ca068cc00df125b7",  # Replace with your weathe
 llm = OpenAIChatLLM(
     base_url=api_base, 
     api_key=api_key, 
-    model="NousResearch/Meta-Llama-3.1-8B-Instruct", 
+    model="NousResearch/Meta-Llama-3-8B-Instruct", 
     temperature=0, 
     streaming=False
 )

playground/demos/chatbot/server/dockerRunVllm.sh

@@ -5,4 +5,4 @@ docker run --runtime nvidia --gpus all \
     --network=host \
     --name vllm \
     vllm/vllm-openai:latest \
-    --model NousResearch/Meta-Llama-3.1-8B-Instruct
+    --model NousResearch/Meta-Llama-3-8B-Instruct

playground/demos/chatbot/server/server_models.py

@@ -44,8 +44,8 @@ class ChatRequest(BaseModel):
     """ The model for a ChatRequest for theChatbot Chat POST endpoint"""
     id: str
     model: AIModel = AIModel(
-        id="NousResearch/Meta-Llama-3.1-8B-Instruct",
+        id="NousResearch/Meta-Llama-3-8B-Instruct",
-        name="NousResearch/Meta-Llama-3.1-8B-Instruct",
+        name="NousResearch/Meta-Llama-3-8B-Instruct",
         maxLength=2048,
         tokenLimit=2048,
     )

playground/demos/vLLM/vLLM_example.py

@@ -11,7 +11,7 @@ api_base = os.getenv("OPENAI_API_BASE") or "http://localhost:8000/v1" # for vllm
 
 # Create an instance of the OpenAIChat class
 model = OpenAIChat(
-    base_url=api_base, api_key=api_key, model="NousResearch/Meta-Llama-3.1-8B-Instruct", temperature=0.5, streaming=True, verbose=True
+    base_url=api_base, api_key=api_key, model="NousResearch/Meta-Llama-3-8B-Instruct", temperature=0.5, streaming=True, verbose=True
 )
 
 # Initialize the agent