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requirements.txt
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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile
#
accelerate==0.25.0
# via
# -r requirements.in
# peft
# trl
aiohttp==3.9.1
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
annotated-types==0.6.0
# via pydantic
appdirs==1.4.4
# via wandb
async-timeout==4.0.3
# via aiohttp
attrs==23.1.0
# via aiohttp
bitsandbytes==0.41.3.post2
# via -r requirements.in
certifi==2023.11.17
# via
# requests
# sentry-sdk
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via wandb
datasets==2.15.0
# via trl
deepspeed==0.12.5
# via -r requirements.in
dill==0.3.7
# via
# datasets
# multiprocess
docker-pycreds==0.4.0
# via wandb
docstring-parser==0.15
# via tyro
filelock==3.13.1
# via
# huggingface-hub
# torch
# transformers
# triton
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec[http]==2023.10.0
# via
# datasets
# huggingface-hub
# torch
gitdb==4.0.11
# via gitpython
gitpython==3.1.40
# via wandb
hjson==3.1.0
# via deepspeed
huggingface-hub==0.19.4
# via
# accelerate
# datasets
# peft
# tokenizers
# transformers
idna==3.6
# via
# requests
# yarl
jinja2==3.1.2
# via torch
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.3
# via jinja2
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.0.4
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via datasets
networkx==3.2.1
# via torch
ninja==1.11.1.1
# via deepspeed
numpy==1.26.2
# via
# accelerate
# datasets
# deepspeed
# pandas
# peft
# pyarrow
# scipy
# transformers
# trl
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==8.9.2.26
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.18.1
# via torch
nvidia-nvjitlink-cu12==12.3.101
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
packaging==23.2
# via
# accelerate
# datasets
# deepspeed
# huggingface-hub
# peft
# transformers
pandas==2.1.4
# via datasets
peft==0.7.1
# via -r requirements.in
protobuf==4.25.1
# via wandb
psutil==5.9.7
# via
# accelerate
# deepspeed
# peft
# wandb
py-cpuinfo==9.0.0
# via deepspeed
pyarrow==14.0.2
# via datasets
pyarrow-hotfix==0.6
# via datasets
pydantic==2.5.2
# via deepspeed
pydantic-core==2.14.5
# via pydantic
pygments==2.17.2
# via rich
pynvml==11.5.0
# via deepspeed
python-dateutil==2.8.2
# via pandas
pytz==2023.3.post1
# via pandas
pyyaml==6.0.1
# via
# accelerate
# datasets
# huggingface-hub
# peft
# transformers
# wandb
regex==2023.10.3
# via transformers
requests==2.31.0
# via
# datasets
# fsspec
# huggingface-hub
# transformers
# wandb
rich==13.7.0
# via tyro
safetensors==0.4.1
# via
# accelerate
# peft
# transformers
scipy==1.11.4
# via -r requirements.in
sentencepiece==0.1.99
# via -r requirements.in
sentry-sdk==1.39.1
# via wandb
setproctitle==1.3.3
# via wandb
shtab==1.6.5
# via tyro
six==1.16.0
# via
# docker-pycreds
# python-dateutil
smmap==5.0.1
# via gitdb
sympy==1.12
# via torch
tokenizers==0.15.0
# via
# -r requirements.in
# transformers
torch==2.1.2
# via
# -r requirements.in
# accelerate
# deepspeed
# peft
# trl
tqdm==4.66.1
# via
# datasets
# deepspeed
# huggingface-hub
# peft
# transformers
transformers==4.36.2
# via
# -r requirements.in
# peft
# trl
triton==2.1.0
# via torch
trl==0.7.4
# via -r requirements.in
typing-extensions==4.9.0
# via
# huggingface-hub
# pydantic
# pydantic-core
# torch
# tyro
tyro==0.6.0
# via trl
tzdata==2023.3
# via pandas
urllib3==2.1.0
# via
# requests
# sentry-sdk
wandb==0.16.1
# via -r requirements.in
xxhash==3.4.1
# via datasets
yarl==1.9.4
# via aiohttp
auto-gptq==0.6.0
# The following packages are considered to be unsafe in a requirements file:
# setuptools