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Benjamin Bossan 8874ab5ed8 CI Update AutoAWQ version to fix CI (#2222) 
Currently, the CI fails because awq tries to import a non-existing
function from transformers (presumably it was there at one point but no
longer is):

>     from transformers.modeling_utils import shard_checkpoint
> E   ImportError: cannot import name 'shard_checkpoint' from 'transformers.modeling_utils' (/opt/conda/envs/peft/lib/python3.11/site-packages/transformers/modeling_utils.py)

This has been fixed in awq v0.2.7. Therefore, this newer version is now
used in CI.
2024-11-19 16:53:04 +01:00
..
peft-cpu
MNT Remove Python 3.8 since it's end of life (#2135)
2024-10-22 16:43:53 +02:00
peft-gpu
CI Update AutoAWQ version to fix CI (#2222)
2024-11-19 16:53:04 +01:00
peft-gpu-bnb-latest
MNT Update docker nvidia base image to 12.4.1 (#2176)
2024-10-24 14:36:50 -04:00
peft-gpu-bnb-multi-source
MNT Update docker nvidia base image to 12.4.1 (#2176)
2024-10-24 14:36:50 -04:00
peft-gpu-bnb-source
MNT Update docker nvidia base image to 12.4.1 (#2176)
2024-10-24 14:36:50 -04:00
README.md
MNT Remove Python 3.8 since it's end of life (#2135)
2024-10-22 16:43:53 +02:00

README.md

PEFT Docker images

Here we store all PEFT Docker images used in our testing infrastructure. We use python 3.11 for now on all our images.

  • peft-cpu: PEFT compiled on CPU with all other HF libraries installed on main branch
  • peft-gpu: PEFT complied for NVIDIA GPUs wih all other HF libraries installed on main branch
  • peft-gpu-bnb-source: PEFT complied for NVIDIA GPUs with bitsandbytes and all other HF libraries installed from main branch
  • peft-gpu-bnb-latest: PEFT complied for NVIDIA GPUs with bitsandbytes complied from main and all other HF libraries installed from latest PyPi
  • peft-gpu-bnb-multi-source: PEFT complied for NVIDIA GPUs with bitsandbytes complied from multi-backend branch and all other HF libraries installed from main branch

peft-gpu-bnb-source and peft-gpu-bnb-multi-source are essentially the same, with the only difference being bitsandbytes compiled on another branch. Make sure to propagate the changes you applied on one file to the other!