diff --git a/docs/examples/ollama.md b/docs/examples/ollama.md
new file mode 100644
index 000000000..3fe6f91f5
--- /dev/null
+++ b/docs/examples/ollama.md
@@ -0,0 +1,59 @@
+# Running a Local Ollama Model
+
+Here are some instructions on using Ollamo and Litellm.
+
+## Instructions
+
+1. Install Ollama by visiting the website [https://ollama.ai/download](https://ollama.ai/download) and selecting the appropriate operating system.
+
+2. Once installed, open the Ollama app, which should be running in your taskbar.
+
+3. Open the terminal and download a model. For example, to download the llama2 model, run the command:
+
+```bash
+ollama run llama2
+```
+
+4. In your terminal, start your virtual environment and install the 'litellm[proxy]' package using poetry you can run the command:
+
+```bash
+pip install 'litellm[proxy]'
+```
+
+Then you should be able to patch using the wrap completion API.
+Since it's just going to use regular prompting and not... Function Calling. You'll need to have a lot more instructions in the system message to ask it to output JSON.
+
+```python
+from litellm import completion, provider_list
+from pydantic import BaseModel
+
+import instructor
+from instructor.patch import wrap_chatcompletion
+
+completion = wrap_chatcompletion(completion, mode=instructor.Mode.MD_JSON)
+
+
+class UserExtract(BaseModel):
+    name: str
+    age: int
+
+
+user = completion(
+    model="ollama/llama2",
+    response_model=UserExtract,
+    messages=[
+        {
+            "role": "system",
+            "content": "You are a JSON extractor. Please extract the following JSON, No Talk.",
+        },
+        {
+            "role": "user",
+            "content": "Extract `My name is Jason and I am 25 years old`",
+        },
+    ],
+)
+
+assert isinstance(user, UserExtract), "Should be instance of UserExtract"
+assert user.name.lower() == "jason"
+assert user.age == 25
+```
diff --git a/mkdocs.yml b/mkdocs.yml
index bf2b9987d..d3abd8081 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -162,6 +162,7 @@ nav:
     - PII Data Sanitization: 'examples/pii.md'
     - Enabling Open Source Models: 'examples/open_source.md'
     - Image to Ad Copy: 'examples/image_to_ad_copy.md'
+    - Ollama + LiteLLM: 'examples/ollama.md'
   - CLI Reference:
       - "CLI Reference": "cli/index.md"
       - "Finetuning GPT-3.5": "cli/finetune.md"