> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getlimina.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Grabbing the Image

> Grabbing the Image describes how to load the Limina image. It can be pulled from Docker Hub or via an encrypted container image export.

Limina is distributed via a single container image. No further downloads are required, as everything is packaged into the image, including the ML models. Updates are released on a monthly cadence via new container images.

## Image Types

There are 5 different flavours of the Limina container:

* `cpu`, which contains all features except for GPU support.

* `cpu-text`, a cut down CPU image that contains only text functionality.

* `gpu`, which contains all features except for synthetic entity functionality.

* `gpu-text`, a GPU-accelerated version of `cpu-text`.

* `gpu-synthetic`, a GPU-accelerated version that includes synthetic entity functionality.

It is recommended to use the text-only containers where possible, as they require less RAM and start quicker due to the smaller image size.

The supported feature matrix is below:

|                              | cpu | cpu-text | gpu | gpu-text | gpu-synthetic |
| ---------------------------- | --- | -------- | --- | -------- | ------------- |
| **Multilingual Support**     | ✓   | ✓        | ✓   | ✓        | ✓             |
| **Synthetic Entity Support** | ✓   |          |     |          | ✓             |
| **File Support**             | ✓   |          | ✓   |          | ✓             |
| **GPU Support**              |     |          | ✓   | ✓        | ✓             |

## Versioning Scheme

Images are tagged with the release version followed by the image type. For example, the 4.0.3 release features the following images: `4.0.3-cpu`, `4.0.3-cpu-text`, `4.0.3-gpu`, `4.0.3-gpu-text` and `4.0.3-gpu-synthetic`. The container repository also contains `cpu`, `cpu-text`, `gpu`, `gpu-text` and `gpu-synthetic` tags which point to the latest release version.

## Getting the Image

The container image is distributed via an Azure Container Registry. Your customer portal account will have a login command pre-filled with your credentials that will look like this:

```shell Docker Command theme={"theme":"poimandres"}
docker login -u INSERT_UNIQUE_CLIENT_ID -p INSERT_UNIQUE_CLIENT_PW crprivateaiprod.azurecr.io
```

Once you've logged in, the image can be pulled with this command:

```shell Docker Command theme={"theme":"poimandres"}
docker pull crprivateaiprod.azurecr.io/deid:<version>
```