Update README.md

README.md

@@ -95,6 +95,7 @@ Llama-3.1-Storm-8B is a powerful generalist model useful for diverse application
 1. `BF16`: [Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)
 2. ⚡ `FP8`: [Llama-3.1-Storm-8B-FP8-Dynamic](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B-FP8-Dynamic)
 3. ⚡ `GGUF`: [Llama-3.1-Storm-8B-GGUF](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B-GGUF)
+4. Ollama: `ollama run ajindal/llama3.1-storm:8b`
 
 
 ## 💻 How to Use the Model
@@ -238,7 +239,7 @@ Here are the available functions:
 <tools>{}</tools>
 
 For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags in the format:
-<tool_call>{{"tool_name": <function-name>, "tool_arguments": <args-dict>}}</tool_call>"""
+<tool_call>{"tool_name": <function-name>, "tool_arguments": <args-dict>}</tool_call>"""
     
     # Convert the tools list to a string representation
     tools_str = json.dumps(tools_list, ensure_ascii=False)
@@ -285,6 +286,58 @@ prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tok
 print(llm.generate([prompt], sampling_params)[0].outputs[0].text.strip())  # Expected Output: <tool_call>{'tool_name': 'web_chain_details', 'tool_arguments': {'chain_slug': 'ethereum'}}</tool_call>
 ```
 
+#### Use with [Ollma](https://ollama.com/)
+```
+import ollama
+
+tools = [{
+      'type': 'function',
+      'function': {
+        'name': 'get_current_weather',
+        'description': 'Get the current weather for a city',
+        'parameters': {
+          'type': 'object',
+          'properties': {
+            'city': {
+              'type': 'string',
+              'description': 'The name of the city',
+            },
+          },
+          'required': ['city'],
+        },
+      },
+    },
+    {
+      'type': 'function',
+      'function': {
+        'name': 'get_places_to_vist',
+        'description': 'Get places to visit in a city',
+        'parameters': {
+          'type': 'object',
+          'properties': {
+            'city': {
+              'type': 'string',
+              'description': 'The name of the city',
+            },
+          },
+          'required': ['city'],
+        },
+      },
+    },
+  ]
+
+response = ollama.chat(
+    model='ajindal/llama3.1-storm:8b',
+    messages=[
+        {'role': 'system', 'content': 'Do not answer to nay vulgar questions.'},
+        {'role': 'user', 'content': 'What is the weather in Toronto and San Francisco?'}
+        ],
+    tools=tools
+)
+
+print(response['message'])  # Expected Response: {'role': 'assistant', 'content': "<tool_call>{'tool_name': 'get_current_weather', 'tool_arguments': {'city': 'Toronto'}}</tool_call>"}
+```
+
 
 ## Alignment Note
 While **Llama-3.1-Storm-8B** did not undergo an explicit model alignment process, it may still retain some alignment properties inherited from the Meta-Llama-3.1-8B-Instruct model.