diff --git a/swarms/models/huggingface.py b/swarms/models/huggingface.py
index 0c97e734..957b398f 100644
--- a/swarms/models/huggingface.py
+++ b/swarms/models/huggingface.py
@@ -173,9 +173,7 @@ class HuggingfaceLLM(AbstractLLM):
                 }
             bnb_config = BitsAndBytesConfig(**quantization_config)
 
-        self.tokenizer = AutoTokenizer.from_pretrained(
-            self.model_id
-        )
+        self.tokenizer = AutoTokenizer.from_pretrained(self.model_id)
 
         if quantize:
             self.model = AutoModelForCausalLM.from_pretrained(
diff --git a/swarms/structs/block_graph.py b/swarms/structs/block_graph.py
new file mode 100644
index 00000000..ff948b4e
--- /dev/null
+++ b/swarms/structs/block_graph.py
@@ -0,0 +1,74 @@
+from swarms.structs.base import BaseStructure
+
+
+class GraphWorkflow(BaseStructure):
+    """
+    Represents a graph-based workflow structure.
+
+    Attributes:
+        graph (dict): A dictionary representing the nodes and edges of the graph.
+        entry_point (str): The name of the entry point node in the graph.
+
+    Methods:
+        add(node, node_value): Adds a node to the graph with the specified value.
+        start(node_name): Sets the starting node for the workflow.
+        connect(from_node, to_node): Connects two nodes in the graph.
+        set_entry_point(node_name): Sets the entry point node for the workflow.
+        add_edge(from_node, to_node): Adds an edge between two nodes in the graph.
+        add_conditional_edges(from_node, condition, edge_dict): Adds conditional edges from a node to multiple nodes based on a condition.
+        run(): Runs the workflow and returns the graph.
+    """
+
+    def __init__(self):
+        self.graph = {}
+        self.entry_point = None
+
+    def add(self, node, node_value):
+        self.graph[node] = {"value": node_value, "edges": {}}
+
+    def start(self, node_name):
+        self._check_node_exists(node_name)
+
+    def connect(self, from_node, to_node):
+        self._check_node_exists(from_node, to_node)
+
+    def set_entry_point(self, node_name):
+        if node_name is self.graph:
+            self.entry_point = node_name
+        else:
+            raise ValueError("Node does not exist in graph")
+
+    def add_edge(self, from_node, to_node):
+        if from_node in self.graph and to_node in self.graph:
+            self.graph[from_node]["edges"][to_node] = "edge"
+        else:
+            raise ValueError("Node does not exist in graph")
+
+    def add_conditional_edges(self, from_node, condition, edge_dict):
+        if from_node in self.graph:
+            for condition_value, to_node in edge_dict.items():
+                if to_node in self.graph:
+                    self.graph[from_node]["edges"][
+                        to_node
+                    ] = condition
+                else:
+                    raise ValueError("Node does not exist in graph")
+        else:
+            raise ValueError(
+                f"Node {from_node} does not exist in graph"
+            )
+
+    def run(self):
+        if self.entry_point is None:
+            raise ValueError("Entry point not set")
+        return self.graph
+
+    def _check_node_exists(self, node_name):
+        if node_name not in self.graph:
+            raise ValueError(
+                f"Node {node_name} does not exist in graph"
+            )
+
+    def _check_nodes_exist(self, from_node, to_node):
+        self._check_node_exists(from_node)
+        self._check_node_exists(to_node)