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Zach Mueller c7e5e41b8c | 2 weeks ago | |
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accelerate-cpu | 10 months ago | |
accelerate-gpu | 3 months ago | |
accelerate-gpu-deepspeed | 2 weeks ago | |
README.md | 2 weeks ago |
Accelerate publishes a variety of docker versions as part of our CI that users can also use. These are stable images that Accelerate can run off of which comes with a variety of different setup configurations, all of which are officially hosted on Docker Hub.
A breakdown of each are given below
Accelerate docker images follow a tagging convention of:
huggingface/accelerate:{accelerator}-{nightly,release}
accelerator
in this instance is one of many applical pre-configured backend supports:
gpu
: Comes compiled off of the nvidia/cuda
image and includes core parts like bitsandbytes
. Runs off python 3.9.cpu
: Comes compiled off of python:3.9-slim
and is designed for non-CUDA based workloads.gpu-deepspeed
: Comes compiled off of the nvidia/cuda
image and includes core parts like bitsandbytes
as well as the latest deepspeed
version. Runs off python 3.10.Each release a new build is pushed with a version number included in the name. For a GPU-supported image of version 0.28.0 for instance, it would look like the following:
huggingface/accelerate:gpu-release-0.28.0
Nightlies contain two different image tags. There is a general nightly
tag which is built each night, and a nightly-YYYY-MM-DD
which corresponds to a build from a particular date.
For instance, here is an example nightly CPU image from 3/14/2024
huggingface/accelerate:cpu-nightly-2024-03-14
Each image comes compiled with conda
and an accelerate
environment contains all of the installed dependencies.
To pull down the latest nightly run:
docker pull huggingface/accelerate:gpu-nightly
To then run it in interactive mode with GPU-memory available, run:
docker container run --gpus all -it huggingface/accelerate:gpu-nightly
CPU and GPU docker images were hosted at huggingface/accelerate-gpu
and huggingface/accelerate-cpu
. These builds are now outdated and will not receive updates.
The builds at the corresponding huggingface/accelerate:{gpu,cpu}
contain the same Dockerfile
, so it's as simple as changing the docker image to the desired ones from above. We will not be deleting these images for posterity, but they will not be receiving updates going forward.
No Description
Python Markdown Dockerfile CSV Makefile
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》