Format and Add a link to leaderboard
diff --git a/fastchat/llm_judge/README.md b/fastchat/llm_judge/README.md
index 5565ea941e..fef4b769dd 100644
--- a/fastchat/llm_judge/README.md
+++ b/fastchat/llm_judge/README.md
@@ -1,5 +1,5 @@
 # LLM Judge
-| [Paper](https://arxiv.org/abs/2306.05685) | [Demo](https://huggingface.co/spaces/lmsys/mt-bench) | 
+| [Paper](https://arxiv.org/abs/2306.05685) | [Demo](https://huggingface.co/spaces/lmsys/mt-bench) | [Leaderboard](https://chat.lmsys.org/?leaderboard) |
 
 In this package, you can use MT-bench questions and prompts to evaluate your models with LLM-as-a-judge.
 
diff --git a/fastchat/model/model_adapter.py b/fastchat/model/model_adapter.py
index 857cdf2c43..4908fafd4f 100644
--- a/fastchat/model/model_adapter.py
+++ b/fastchat/model/model_adapter.py
@@ -147,8 +147,7 @@ def load_model(
                     for i in range(num_gpus)
                 }
             else:
-                kwargs["max_memory"] = {
-                    i: max_gpu_memory for i in range(num_gpus)}
+                kwargs["max_memory"] = {i: max_gpu_memory for i in range(num_gpus)}
     elif device == "mps":
         kwargs = {"torch_dtype": torch.float16}
         # Avoid bugs in mps backend by not using in-place operations.
@@ -557,8 +556,7 @@ def load_model(self, model_path: str, from_pretrained_kwargs: dict):
             model_path, low_cpu_mem_usage=True, **from_pretrained_kwargs
         )
         revision = from_pretrained_kwargs.get("revision", "main")
-        tokenizer = LlamaTokenizer.from_pretrained(
-            model_path, revision=revision)
+        tokenizer = LlamaTokenizer.from_pretrained(model_path, revision=revision)
         return model, tokenizer
 
     def get_default_conv_template(self, model_path: str) -> Conversation:
@@ -837,9 +835,7 @@ def match(self, model_path: str):
     def load_model(self, model_path: str, from_pretrained_kwargs: dict):
         config = AutoConfig.from_pretrained(model_path, trust_remote_code=True)
         tokenizer = AutoTokenizer.from_pretrained(
-            model_path,
-            config=config,
-            trust_remote_code=True
+            model_path, config=config, trust_remote_code=True
         )
         model = AutoModelForCausalLM.from_pretrained(
             model_path,
diff --git a/fastchat/model/model_registry.py b/fastchat/model/model_registry.py
index b49953d70b..d8c5038e15 100644
--- a/fastchat/model/model_registry.py
+++ b/fastchat/model/model_registry.py
@@ -50,8 +50,14 @@ def get_model_info(name: str) -> ModelInfo:
     "PaLM 2 for Chat (chat-bison@001) by Google",
 )
 register_model_info(
-    ["vicuna-13b", "vicuna-13b-v1.3", "vicuna-7b", "vicuna-7b-v1.3",
-     "vicuna-33b", "vicuna-33b-v1.3"],
+    [
+        "vicuna-13b",
+        "vicuna-13b-v1.3",
+        "vicuna-7b",
+        "vicuna-7b-v1.3",
+        "vicuna-33b",
+        "vicuna-33b-v1.3",
+    ],
     "Vicuna",
     "https://lmsys.org/blog/2023-03-30-vicuna/",
     "a chat assistant fine-tuned from LLaMA on user-shared conversations by LMSYS",
@@ -129,10 +135,10 @@ def get_model_info(name: str) -> ModelInfo:
     "Stability AI language models",
 )
 register_model_info(
-    ["mpt-7b-chat", "mpt-30b-chat"],
+    ["mpt-7b-chat"],
     "MPT-Chat",
-    "https://www.mosaicml.com/blog/mpt-30b",
-    "a chatbot fine-tuned from MPT by MosaicML",
+    "https://www.mosaicml.com/blog/mpt-7b",
+    "a chatbot fine-tuned from MPT-7B by MosaicML",
 )
 register_model_info(
     ["mpt-30b-chat"],
diff --git a/fastchat/serve/monitor/monitor.py b/fastchat/serve/monitor/monitor.py
index cb268ab7c8..de7c101f0b 100644
--- a/fastchat/serve/monitor/monitor.py
+++ b/fastchat/serve/monitor/monitor.py
@@ -206,7 +206,9 @@ def build_leaderboard_tab(elo_results_file, leaderboard_table_file):
             value=values,
             elem_id="leaderboard_dataframe",
         )
-        gr.Markdown("If you want to see more models, please help us [add them](https://github.com/lm-sys/FastChat/blob/main/docs/arena.md#how-to-add-a-new-model).")
+        gr.Markdown(
+            "If you want to see more models, please help us [add them](https://github.com/lm-sys/FastChat/blob/main/docs/arena.md#how-to-add-a-new-model)."
+        )
     else:
         pass
 
