This is documentation for Kamiwaza **0.7.0**, which is no longer actively maintained. For the current GA release, see [**1.0.1**](https://docs.kamiwaza.ai/).  
Version: 0.7.0

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/0.7.0/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 light weight, 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/0.7.0/models/overview)**: Deploy larger, more capable models  
- **[Explore More Apps](https://docs.kamiwaza.ai/0.7.0/app-garden)**: Check out other applications in the App Garden  
- **[Learn the Architecture](https://docs.kamiwaza.ai/0.7.0/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/0.7.0/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/0.7.0/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!