set access_token to None in get_model function

src/app.py

@@ -13,26 +13,19 @@ model_list = [
     "NousResearch/Meta-Llama-3-8B-Instruct",
     "NousResearch/Meta-Llama-3-70B-Instruct",
     "mistral-community/Mistral-7B-v0.2",
-    # "mistralai/Mixtral-8x7B-Instruct-v0.1",
     "mistral-community/Mixtral-8x22B-v0.1",
-    "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
-    # "CohereForAI/c4ai-command-r-plus",
-    # "CohereForAI/c4ai-command-r-v01",
-    "hpcai-tech/grok-1",
     "NexaAIDev/Octopus-v2",
     "HuggingFaceH4/zephyr-7b-gemma-v0.1",
     "HuggingFaceH4/starchat2-15b-v0.1",
+    "Qwen/Qwen2.5-Coder-32B-Instruct",
     "deepseek-ai/deepseek-coder-6.7b-instruct",
-    "deepseek-ai/deepseek-coder-1.3b-base",
-    "microsoft/phi-2",
+    "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
     "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
     "codellama/CodeLlama-7b-hf",
     "codellama/CodeLlama-13b-hf",
     "codellama/CodeLlama-34b-hf",
     "Phind/Phind-CodeLlama-34B-v2",
-    "tiiuae/falcon-40B",
     "tiiuae/falcon-40B-Instruct",
-    "tiiuae/falcon-180B",
     "tiiuae/falcon-180B-Chat",
 ]
 st.title("Can you run it? LLM version")
@@ -52,7 +45,7 @@ def cache_model_list():
     model_list_info = {}
     for model_name in model_list:
         if not "tiiuae/falcon" in model_name: # Exclude Falcon models
-            model = get_model(model_name, library="transformers", access_token="")
+            model = get_model(model_name, library="transformers", access_token=None)
             model_list_info[model_name] = calculate_memory(model, ["float32", "float16/bfloat16", "int8", "int4"])
             del model
             gc.collect()
@@ -139,7 +132,7 @@ if model_name not in st.session_state:
     if model_name in model_list_info.keys():
         st.session_state[model_name] = model_list_info[model_name]
     else:
-        model = get_model(model_name, library="transformers", access_token=access_token)
+        model = get_model(model_name, library="transformers", access_token=access_token if access_token else None)
         st.session_state[model_name] = calculate_memory(model, ["float32", "float16/bfloat16", "int8", "int4"])
         del model
         gc.collect()