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+# Installation
+
+This guide will walk you through installing Llamactl on your system.
+
+## Prerequisites
+
+### Backend Dependencies
+
+llamactl supports multiple backends. Install at least one:
+
+**For llama.cpp backend (all platforms):**
+
+You need `llama-server` from [llama.cpp](https://github.com/ggml-org/llama.cpp) installed:
+
+```bash
+# Homebrew (macOS/Linux)
+brew install llama.cpp
+# Winget (Windows)
+winget install llama.cpp
+```
+
+Or build from source - see llama.cpp docs
+
+**For MLX backend (macOS only):**
+
+MLX provides optimized inference on Apple Silicon. Install MLX-LM:
+
+```bash
+# Install via pip (requires Python 3.8+)
+pip install mlx-lm
+
+# Or in a virtual environment (recommended)
+python -m venv mlx-env
+source mlx-env/bin/activate
+pip install mlx-lm
+```
+
+Note: MLX backend is only available on macOS with Apple Silicon (M1, M2, M3, etc.)
+
+**For vLLM backend:**
+
+vLLM provides high-throughput distributed serving for LLMs. Install vLLM:
+
+```bash
+# Install via pip (requires Python 3.8+, GPU required)
+pip install vllm
+
+# Or in a virtual environment (recommended)
+python -m venv vllm-env
+source vllm-env/bin/activate
+pip install vllm
+
+# For production deployments, consider container-based installation
+```
+
+## Installation Methods
+
+### Option 1: Download Binary (Recommended)
+
+Download the latest release from the [GitHub releases page](https://github.com/lordmathis/llamactl/releases):
+
+```bash
+# Linux/macOS - Get latest version and download
+LATEST_VERSION=$(curl -s https://api.github.com/repos/lordmathis/llamactl/releases/latest | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/')
+curl -L https://github.com/lordmathis/llamactl/releases/download/${LATEST_VERSION}/llamactl-${LATEST_VERSION}-$(uname -s | tr '[:upper:]' '[:lower:]')-$(uname -m).tar.gz | tar -xz
+sudo mv llamactl /usr/local/bin/
+
+# Or download manually from:
+# https://github.com/lordmathis/llamactl/releases/latest
+
+# Windows - Download from releases page
+```
+
+### Option 2: Docker
+
+llamactl provides Dockerfiles for creating Docker images with backends pre-installed. The resulting images include the latest llamactl release with the respective backend.
+
+**Available Dockerfiles (CUDA):**
+- **llamactl with llama.cpp CUDA**: `docker/Dockerfile.llamacpp` (based on `ghcr.io/ggml-org/llama.cpp:server-cuda`)
+- **llamactl with vLLM CUDA**: `docker/Dockerfile.vllm` (based on `vllm/vllm-openai:latest`)
+- **llamactl built from source**: `docker/Dockerfile.source` (multi-stage build with webui)
+
+**Note:** These Dockerfiles are configured for CUDA. For other platforms (CPU, ROCm, Vulkan, etc.), adapt the base image. For llama.cpp, see available tags at [llama.cpp Docker docs](https://github.com/ggml-org/llama.cpp/blob/master/docs/docker.md). For vLLM, check [vLLM docs](https://docs.vllm.ai/en/v0.6.5/serving/deploying_with_docker.html).
+
+#### Using Docker Compose
+
+```bash
+# Clone the repository
+git clone https://github.com/lordmathis/llamactl.git
+cd llamactl
+
+# Create directories for data and models
+mkdir -p data/llamacpp data/vllm models
+
+# Start llamactl with llama.cpp backend
+docker-compose -f docker/docker-compose.yml up llamactl-llamacpp -d
+
+# Or start llamactl with vLLM backend
+docker-compose -f docker/docker-compose.yml up llamactl-vllm -d
+```
+
+Access the dashboard at:
+- llamactl with llama.cpp: http://localhost:8080
+- llamactl with vLLM: http://localhost:8081
+
+#### Using Docker Build and Run
+
+**llamactl with llama.cpp CUDA:**
+```bash
+docker build -f docker/Dockerfile.llamacpp -t llamactl:llamacpp-cuda .
+docker run -d \
+  --name llamactl-llamacpp \
+  --gpus all \
+  -p 8080:8080 \
+  -v ~/.cache/llama.cpp:/root/.cache/llama.cpp \
+  llamactl:llamacpp-cuda
+```
+
+**llamactl with vLLM CUDA:**
+```bash
+docker build -f docker/Dockerfile.vllm -t llamactl:vllm-cuda .
+docker run -d \
+  --name llamactl-vllm \
+  --gpus all \
+  -p 8080:8080 \
+  -v ~/.cache/huggingface:/root/.cache/huggingface \
+  llamactl:vllm-cuda
+```
+
+**llamactl built from source:**
+```bash
+docker build -f docker/Dockerfile.source -t llamactl:source .
+docker run -d \
+  --name llamactl \
+  -p 8080:8080 \
+  llamactl:source
+```
+
+### Option 3: Build from Source
+
+Requirements:
+- Go 1.24 or later
+- Node.js 22 or later
+- Git
+
+If you prefer to build from source:
+
+```bash
+# Clone the repository
+git clone https://github.com/lordmathis/llamactl.git
+cd llamactl
+
+# Build the web UI
+cd webui && npm ci && npm run build && cd ..
+
+# Build the application
+go build -o llamactl ./cmd/server
+```
+
+## Remote Node Installation
+
+For deployments with remote nodes:
+- Install llamactl on each node using any of the methods above
+- Configure API keys for authentication between nodes
+- Ensure node names are consistent across all configurations
+
+## Verification
+
+Verify your installation by checking the version:
+
+```bash
+llamactl --version
+```
+
+## Next Steps
+
+Now that Llamactl is installed, continue to the [Quick Start](quick-start.md) guide to get your first instance running!
+
+For remote node deployments, see the [Configuration Guide](configuration.md) for node setup instructions.