fix: docker build failing (#3622)

* fix: uv leftover docs

* fix: docker build failing

* chore: doc

* fix: remove old pytorch build

* fix: stop recommend flash-attn optional, let transformers pull

* fix: remove ring flash attention from image

* fix: quotes [skip ci]

* chore: naming [skip ci]
This commit is contained in:
NanoCode012
2026-04-24 14:23:09 +07:00
committed by GitHub
parent 901f2356bc
commit 17fc747f99
29 changed files with 62 additions and 119 deletions

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@@ -13,10 +13,17 @@ This section describes the different Docker images that are released by AxolotlA
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.
::: {.callout-important}
### Switch to the `-uv` images
Each image below ships 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-uv`, `axolotlai/axolotl-base-uv`, `axolotlai/axolotl-cloud-uv`). Tags follow the
same format as their non-uv counterparts.
**We recommend switching to the `-uv` images early.** In the near future we will publish the uv-based
build to the non-uv tags as well. The non-uv names will continue to work, but they will start serving
the uv image.
:::
## Base
@@ -85,7 +92,7 @@ Tags examples:
- `main-py3.12-cu130-2.10.0`
- `main-latest`
- `main-20260315-py3.11-cu128-2.9.1`
- `0.12.0`
- `0.16.1`
## Cloud