---
title: "Docker"
format:
  html:
    toc: true
    toc-depth: 4
---

This section describes the different Docker images that are released by AxolotlAI at
[Docker Hub](https://hub.docker.com/u/axolotlai).

::: {.callout-important}
For Blackwell GPUs, please use the tags with PyTorch 2.9.1 and CUDA 12.8.
:::

::: {.callout-tip}
Each image below is available in a **uv variant** that uses [uv](https://docs.astral.sh/uv/) with
a relocatable venv (`/workspace/axolotl-venv`) instead of Miniconda + pip. Append `-uv` to the image name
(e.g. `axolotlai/axolotl-base-uv`). Tags follow the same format. We recommend the uv images for new deployments.
:::

## Base

The base image is the most minimal image that can install Axolotl. It is based on the `nvidia/cuda` image.
It includes python, torch, git, git-lfs, awscli, pydantic, and more.

#### Image

| Variant | Image | Docker Hub |
|---------|-------|------------|
| pip | `axolotlai/axolotl-base` | [Link](https://hub.docker.com/r/axolotlai/axolotl-base) |
| uv | `axolotlai/axolotl-base-uv` | [Link](https://hub.docker.com/r/axolotlai/axolotl-base-uv) |

#### Tags format

```bash
main-base-py{python_version}-cu{cuda_version}-{pytorch_version}
```

Tags examples:

- `main-base-py3.11-cu128-2.9.1`
- `main-base-py3.12-cu128-2.10.0`
- `main-base-py3.12-cu130-2.9.1`
- `main-base-py3.12-cu130-2.10.0`

## Main

The main image is the image that is used to run Axolotl. It is based on the `axolotlai/axolotl-base` image and includes the Axolotl codebase, dependencies, and more.

#### Image

| Variant | Image | Docker Hub |
|---------|-------|------------|
| pip | `axolotlai/axolotl` | [Link](https://hub.docker.com/r/axolotlai/axolotl) |
| uv | `axolotlai/axolotl-uv` | [Link](https://hub.docker.com/r/axolotlai/axolotl-uv) |

#### Tags format {#sec-main-tags}

```bash
# on push to main
main-py{python_version}-cu{cuda_version}-{pytorch_version}

# latest main (currently torch 2.9.1, python 3.11, cuda 12.8)
main-latest

# nightly build
{branch}-{date_in_YYYYMMDD}-py{python_version}-cu{cuda_version}-{pytorch_version}

# tagged release
{version}
```

:::{.callout-tip}

There may be some extra tags appended to the image, like `-vllm` which installs those packages.

:::

Tags examples:

- `main-py3.11-cu128-2.9.1`
- `main-py3.12-cu128-2.10.0`
- `main-py3.12-cu130-2.9.1`
- `main-py3.12-cu130-2.10.0`
- `main-latest`
- `main-20260315-py3.11-cu128-2.9.1`
- `0.12.0`

## Cloud

The cloud image is the image that is used to run Axolotl in the cloud. It is based on the `axolotlai/axolotl` image and sets ENV variables like HuggingFace cache directories for volume mounts, tmux, and more for different cloud providers.

:::{.callout-tip}

Jupyter lab is run by default. Set `JUPYTER_DISABLE=1` in the environment variables to disable it.

:::

#### Image

| Variant | Image | Docker Hub |
|---------|-------|------------|
| pip | `axolotlai/axolotl-cloud` | [Link](https://hub.docker.com/r/axolotlai/axolotl-cloud) |
| uv | `axolotlai/axolotl-cloud-uv` | [Link](https://hub.docker.com/r/axolotlai/axolotl-cloud-uv) |

#### Tags format

This uses the same tags as the [`main` image](#sec-main-tags).

#### Environment variables

- `JUPYTER_DISABLE`: Disable Jupyter lab.
- `JUPYTER_PASSWORD`: Set a password for the Jupyter lab.
- `PUBLIC_KEY` / `SSH_KEY`: Add a public key for the SSH service.

#### Volume mounts

:::{.callout-tip}

We recommend mounting volumes to `/workspace/data` for data persistence. `/workspace/axolotl` contains the source code and is ephemeral.

:::

- `/workspace/data/axolotl-artifacts`: Directory to store Axolotl artifacts.
- `/workspace/data/huggingface-cache`: Directory to store HuggingFace cache.

## Cloud-no-tmux

This is the same as the [`cloud` image](#sec-cloud) but without tmux.

#### Image

```
axolotlai/axolotl-cloud-term
```

Link: [Docker Hub](https://hub.docker.com/r/axolotlai/axolotl-cloud-term)

:::{.callout-note}

The naming may be a bit confusing as it has `-term` appended to the end.

:::

#### Tags format

This uses the same tags as the [`cloud` image](#sec-cloud-tags).