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docs/getting-started/quick-start.md

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+# Quick Start
+
+This guide will help you get LlamaCtl up and running in just a few minutes.
+
+## Step 1: Start LlamaCtl
+
+Start the LlamaCtl server:
+
+```bash
+llamactl
+```
+
+By default, LlamaCtl will start on `http://localhost:8080`.
+
+## Step 2: Access the Web UI
+
+Open your web browser and navigate to:
+
+```
+http://localhost:8080
+```
+
+You should see the LlamaCtl web interface.
+
+## Step 3: Create Your First Instance
+
+1. Click the "Add Instance" button
+2. Fill in the instance configuration:
+   - **Name**: Give your instance a descriptive name
+   - **Model Path**: Path to your Llama.cpp model file
+   - **Port**: Port for the instance to run on
+   - **Additional Options**: Any extra Llama.cpp parameters
+
+3. Click "Create Instance"
+
+## Step 4: Start Your Instance
+
+Once created, you can:
+
+- **Start** the instance by clicking the start button
+- **Monitor** its status in real-time
+- **View logs** by clicking the logs button
+- **Stop** the instance when needed
+
+## Example Configuration
+
+Here's a basic example configuration for a Llama 2 model:
+
+```json
+{
+  "name": "llama2-7b",
+  "model_path": "/path/to/llama-2-7b-chat.gguf",
+  "port": 8081,
+  "options": {
+    "threads": 4,
+    "context_size": 2048
+  }
+}
+```
+
+## Using the API
+
+You can also manage instances via the REST API:
+
+```bash
+# List all instances
+curl http://localhost:8080/api/instances
+
+# Create a new instance
+curl -X POST http://localhost:8080/api/instances \
+  -H "Content-Type: application/json" \
+  -d '{
+    "name": "my-model",
+    "model_path": "/path/to/model.gguf",
+    "port": 8081
+  }'
+
+# Start an instance
+curl -X POST http://localhost:8080/api/instances/my-model/start
+```
+
+## Next Steps
+
+- Learn more about the [Web UI](../user-guide/web-ui.md)
+- Explore the [API Reference](../user-guide/api-reference.md)
+- Configure advanced settings in the [Configuration](configuration.md) guide