# Documentation for Kamiwaza **0.7.1**

Get up and running with Kamiwaza in just a few minutes! This guide will walk you through starting the platform, deploying your first AI model, and launching a real application from the App Garden.

## Prerequisites

Before you begin, make sure you have:

- Kamiwaza installed and configured (see our [Installation Guide](https://docs.kamiwaza.ai/0.7.1/installation/installation_process))
- At least 16GB of available RAM
- A stable internet connection for downloading models

## Step 1: Start Kamiwaza

First, let's get the Kamiwaza platform running on your system.

### For Community Edition (Ubuntu .deb package)

If you installed via the .deb package, Kamiwaza should start automatically as a system service. You can check the status with:

```bash
kamiwaza status
```

If it's not running, start it with:

```bash
kamiwaza start
```

### For Manual Installations

Navigate to your Kamiwaza installation directory and start the platform:

```bash
cd /path/to/kamiwaza

bash startup/kamiwazad.sh start
```

### Verify Kamiwaza is Running

Open your web browser and navigate to:

- **Frontend**: [https://localhost](https://localhost/)
- **API Documentation**: [http://localhost/api/docs](http://localhost/api/docs)

You should see the Kamiwaza interface load successfully. Use the following credentials in the Sign In screen:

- **Username:** `admin`
- **Password:** `kamiwaza`

## Step 2: Deploy Your First Model

Now let's deploy a small, fast language model that's perfect for getting started.

### Access the Models Section

1. In the Kamiwaza frontend, navigate to the **Models** section
2. Enter `unsloth/Qwen3-0.6B-GGUF` into the search field, click `Exact match`, then click Search.
   - Click the "Download" button, unselect all the files, just select the box next to `Qwen3-0.6B-Q6_K.gguf - 495.11 MB`
   - Click "Download Selected Files".
   - You should now see the file downloading in a new pop-up modal.

3. Deploy the model.
   - Scroll down to the "Your Models" section, and click the name of the model (`Qwen3-0.6B-GGUF`)
   - On the next screen, look for the "Deploy" button in the upper right (under Model Configurations) and click it.
   - After a few moments, you will see the model appear under "Model Deployments."

### Review

For the first deployment, we deployed a modern large language model:

- **Model**: `Qwen3 0.6B` (very lightweight, suitable for basic conversation)
  - Note that this is a GGUF-quantized version of the model suitable for CPU-based inference
- **Engine**: `llamacpp` (CPU-friendly)

## Step 3: Launch an AI Chatbot from the App Garden

Now let's use your deployed model in a real application from the App Garden.

### Access the App Garden

1. Navigate to the **App Garden** section in the Kamiwaza interface
2. Browse the available applications
3. Look for the **"AI Chatbot"** app

**[Screenshot placeholder: App Garden interface showing available apps]**

### Configure and Launch the Chatbot

1. Click on the **AI Chatbot** app's "Deploy" button
2. In the configuration screen, keep the default configuration, and click **"Deploy"**
3. Click **"Launch App"**

### Access Your Running Chatbot

- Once launched, click the **"Open App"** button in the deployed app listing,
- This will open the app in a new browser tab.
- It will automatically use your deployed model.

### Try Your Chatbot

You now have a fully functional AI-powered chat application!

## Next Steps

Congratulations! You've successfully:
✅ Started Kamiwaza

✅ Deployed your first AI model

✅ Launched a real application from the App Garden

### Explore More

Now that you have the basics down, here are some next steps to explore:

- **[Try Different Models](https://docs.kamiwaza.ai/0.7.1/models/overview)**: Deploy larger, more capable models
- **[Explore More Apps](https://docs.kamiwaza.ai/0.7.1/app-garden)**: Check out other applications in the App Garden
- **[Learn the Architecture](https://docs.kamiwaza.ai/0.7.1/architecture/overview)**: Understand how Kamiwaza works under the hood
- **[Use the SDK](https://docs.kamiwaza.ai/sdk)**: Build custom applications using the Kamiwaza Python SDK
- **[Set Up Your Data](https://docs.kamiwaza.ai/0.7.1/data-engine)**: Connect your own data sources for RAG applications

### Need Help?

If you run into any issues:

- Check the [troubleshooting section](https://docs.kamiwaza.ai/0.7.1/other-topics) for common problems
- Join our [Discord community](https://discord.gg/cVGBS5rD2U) for real-time help
- Contact our [support team](https://portal.kamiwaza.ai/_hcms/mem/login?redirect_url=https%3A%2F%2Fportal.kamiwaza.ai%2Ftickets-view)

## What You've Learned

In this quickstart, you've experienced the core Kamiwaza workflow:

1. **Model Management**: How to deploy and test AI models
2. **App Garden**: How to launch pre-built applications
3. **Integration**: How models and apps work together seamlessly

This same pattern scales from simple chatbots to complex enterprise AI applications. Welcome to Kamiwaza!