### Install Llamastash with PowerShell

Source: https://llamastash.dev/

Install Llamastash on Windows using PowerShell. This command adds the bucket and installs the package.

```powershell
irm https://llamastash.dev/install.ps1 | iex
```

--------------------------------

### Install Llamastash with Scoop

Source: https://llamastash.dev/

Install Llamastash on Windows using the Scoop package manager. This command adds the bucket and installs the package.

```powershell
scoop bucket add llamastash https://github.com/llamastash/scoop-llamastash; scoop install llamastash
```

--------------------------------

### Initialize Llamastash

Source: https://llamastash.dev/

Run this command to start the Llamastash initialization wizard. The wizard sets up llama.cpp, downloads models, and configures settings.

```bash
llamastash init
```

--------------------------------

### Initialize Llamastash with Recommended Settings and JSON Output

Source: https://llamastash.dev/

Use this command for agents or automated setups to initialize Llamastash with recommended settings and output in JSON format.

```bash
llamastash init --recommended --json
```

--------------------------------

### Install Llamastash with Homebrew

Source: https://llamastash.dev/

Install Llamastash on macOS or Linux using the Homebrew package manager.

```bash
brew install llamastash/llamastash/llamastash
```

--------------------------------

### Install Llamastash with Cargo

Source: https://llamastash.dev/

Install Llamastash using Cargo, the Rust package manager. Ensure you have Rust and Cargo installed.

```bash
cargo install llamastash
```

--------------------------------

### Install Llamastash with AUR

Source: https://llamastash.dev/

Install Llamastash on Arch Linux systems using the AUR helper 'yay'.

```bash
yay -S llamastash
```

--------------------------------

### Install Llamastash with Shell Script

Source: https://llamastash.dev/

Use this command to install Llamastash via a shell script. Ensure you review scripts before execution.

```bash
curl -fsSL https://llamastash.dev/install.sh | sh
```

--------------------------------

### Initialize Llamastash

Source: https://llamastash.dev/

This command initializes Llamastash, detects system resources like GPU and CPU, and fetches the latest model benchmark snapshot. It may adopt an existing llama-server binary.

```bash
/mnt/work/Workspace/oss-libs/llamadash-rs/llamastash main *7 !4 ?2 ──────────────────────────────────────────────────────  system ❯ llamastash init                                                                                                                  ┌  llamastash init                                                                                                                 │                                                                                                                                  ●  gpu: AMD card0 · 124.5 GiB (unified, inferred)                                                                                  │  cpu: AMD RYZEN AI MAX+ 395 w/ Radeon 8060S · 16 cores · AVX2 AVX-512 FMA                                                        │  sys: 124.9 GiB MEM* · 244.6 GiB disk free · linux/x86_64                                                                        │                                                                                                                                  ◇  Install method                                                                                                                  │  Use existing binary at /home/deepu/.local/state/llamadash/llama-cpp/b9245/llama-b9245/llama-server                              │                                                                                                                                  ◇  Adopted llama-server (/home/deepu/.local/state/llamadash/llama-cpp/b9245/llama-b9245/llama-server)                              │                                                                                                                                  ◓  Fetching latest model benchmark snapshot
```

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