Update app.py

app.py

@@ -6,8 +6,8 @@ import torch
 def load_model():
     """Load model and tokenizer with caching"""
     try:
-        tokenizer = AutoTokenizer.from_pretrained("eyad-silx/Quasar-32B")
-        model = AutoModelForCausalLM.from_pretrained("eyad-silx/Quasar-32B")
+        tokenizer = AutoTokenizer.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B")
+        model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B")
         return model, tokenizer
     except Exception as e:
         st.error(f"Error loading model: {str(e)}")