make mlflow optional (#1317)

add a helpful motd for cloud image (#1235) [skip ci]

Revert "run PR e2e docker CI tests in Modal" (#1220) [skip ci]

run PR e2e docker CI tests in Modal (#1217) [skip ci]

upgrade deepspeed to 0.13.1 for mixtral fixes (#1189) [skip ci]

jupyter lab fixes (#1139) [skip ci]

Dockerfile cloud ports (#1148)

Agnostic cloud gpu docker image and Jupyter lab (#1097)

misc fixes from #943 (#1086) [skip ci]

fix: warn user to install mamba_ssm package (#1019)

attempt to also run e2e tests that needs gpus (#1070)

Add tests to Docker (#993)

Dockerfile torch fix (#987)

fix for build for nccl in dockerfile (#970)

update to latest nccl in docker image (#965)

Mixtral multipack (#928)

don't compile deepspeed or bitsandbytes from source (#837)

add deepspeed-kernels dependency for deepspeed>=0.12.0 (#827)

fix pytorch 2.1.0 build, add multipack docs (#722)

apex not needed as amp is part of pytorch (#696)

fix multiline for docker (#694)

Feat: Set WORKDIR to /workspace/axolotl (#679)

tweak: improve base builder for smaller layers (#500)

let MAX_JOBS use the default since we're not resource constrained on our self-hosted runners (#427)

update dockerfile to not build evoformer since it fails the build (#607)

update readme to point to direct link to runpod template, cleanup install instrucitons (#532)

Add support for GPTQ using native transformers/peft (#468)

remove --force-reinstall from Dockerfile to ensure correct pytorch version (#492)

flash attn pip install (#426)

bump flash-attn to 2.0.4 for the base docker image (#382)

add peft install back since it doesn't get installed by setup.py (#331)

pin accelerate so it works with llama2 (#330)

Prune cuda117 (#327)

add runpod envs to .bashrc, fix bnb env (#316)

pin flash attention 2 to the fix for backwards pass

flash attention 2

explicitly pin flash attention 1 to v1.0.9

misc fixes

set transformers cache env var in docker image

git fetch fix for docker

pin pydantic so deepspeed isn't broken

update pip install command for apex

shallow clone

clone in docker

py310, fix cuda arg in deepspeed

Merge pull request #108 from OpenAccess-AI-Collective/docker-gptq

Lint and format

cleanup from pr feedback

default to qlora support, make gptq specific image

move CUDA_VERSION_BNB arg inside of stage build scope