581dd324cc
* build base images for torch 2.7.1 * fix: update base docker to use torch 2.7.1 * fix: update doc for main base to use 2.7.1 * make sure to install fa2 in base uv too * use no build isolation for uv+flashattn * install psutil also for fa2 * longer timeout for flash attn build --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
144 lines
3.2 KiB
Plaintext
144 lines
3.2 KiB
Plaintext
---
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title: "Docker"
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format:
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html:
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toc: true
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toc-depth: 4
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---
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This section describes the different Docker images that are released by AxolotlAI at [Docker Hub](https://hub.docker.com/u/axolotlai).
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::: {.callout-important}
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For Blackwell GPUs, please use the tags with Pytorch 2.7.1 and CUDA 12.8.
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:::
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## Base
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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.
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#### Image
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```
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axolotlai/axolotl-base
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```
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Link: [Docker Hub](https://hub.docker.com/r/axolotlai/axolotl-base)
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#### Tags format
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```bash
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main-base-py{python_version}-cu{cuda_version}-{pytorch_version}
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```
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Tags examples:
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- `main-base-py3.11-cu128-2.7.1`
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- `main-base-py3.11-cu126-2.7.1`
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- `main-base-py3.11-cu124-2.6.0`
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- `main-base-py3.11-cu124-2.5.1`
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## Main
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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.
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#### Image
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```
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axolotlai/axolotl
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```
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Link: [Docker Hub](https://hub.docker.com/r/axolotlai/axolotl)
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#### Tags format {#sec-main-tags}
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```bash
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# on push to main
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main-py{python_version}-cu{cuda_version}-{pytorch_version}
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# latest main (currently torch 2.6.0, python 3.11, cuda 12.4)
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main-latest
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# nightly build
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{branch}-{date_in_YYYYMMDD}-py{python_version}-cu{cuda_version}-{pytorch_version}
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# tagged release
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{version}
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```
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:::{.callout-tip}
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There may be some extra tags appended to the image, like `-vllm` which installs those packages.
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:::
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Tags examples:
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- `main-py3.11-cu126-2.7.0`
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- `main-py3.11-cu124-2.6.0`
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- `main-py3.11-cu124-2.5.1`
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- `main-latest`
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- `main-20250303-py3.11-cu124-2.6.0`
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- `main-20250303-py3.11-cu124-2.5.1`
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- `0.9.2`
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## Cloud
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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.
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:::{.callout-tip}
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Jupyter lab is run by default. Set `JUPYTER_DISABLE=1` in the environment variables to disable it.
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:::
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#### Image
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```
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axolotlai/axolotl-cloud
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```
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Link: [Docker Hub](https://hub.docker.com/r/axolotlai/axolotl-cloud)
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#### Tags format
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This uses the same tags as the [`main` image](#sec-main-tags).
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#### Environment variables
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- `JUPYTER_DISABLE`: Disable Jupyter lab.
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- `JUPYTER_PASSWORD`: Set a password for the Jupyter lab.
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- `PUBLIC_KEY` / `SSH_KEY`: Add a public key for the SSH service.
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#### Volume mounts
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:::{.callout-tip}
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We recommend mounting volumes to `/workspace/data` for data persistence. `/workspace/axolotl` contains the source code and is ephemeral.
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:::
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- `/workspace/data/axolotl-artifacts`: Directory to store Axolotl artifacts.
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- `/workspace/data/huggingface-cache`: Directory to store HuggingFace cache.
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## Cloud-no-tmux
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This is the same as the [`cloud` image](#sec-cloud) but without tmux.
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#### Image
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```
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axolotlai/axolotl-cloud-term
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```
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Link: [Docker Hub](https://hub.docker.com/r/axolotlai/axolotl-cloud-term)
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:::{.callout-note}
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The naming may be a bit confusing as it has `-term` appended to the end.
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:::
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#### Tags format
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This uses the same tags as the [`cloud` image](#sec-cloud-tags).
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