> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Multimodal Agent

## Code

```python cookbook/11_models/ollama/image_agent_bytes.py theme={null}
from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.ollama import Ollama

agent = Agent(
    model=Ollama(id="gemma3"),
    markdown=True,
)

image_path = Path(__file__).parent.joinpath("sample.jpg")
agent.print_response(
    "Write a 3 sentence fiction story about the image",
    images=[Image(filepath=image_path)],
)
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install Ollama">
    Follow the [installation guide](https://github.com/ollama/ollama?tab=readme-ov-file#macos) and run:

    ```bash theme={null}
    ollama pull gemma3
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U ollama agno
    ```
  </Step>

  <Step title="Add sample image">
    Place a sample image named `sample.jpg` in the same directory as your script, or update the `image_path` to point to your desired image.
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/11_models/ollama/image_agent_bytes.py
    ```
  </Step>
</Steps>