requirements-no-gpu.txt

#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    pip-compile --extra-index-url=https://download.pytorch.org/whl/cpu --output-file=requirements-no-gpu.txt requirements.in
#
--extra-index-url https://download.pytorch.org/whl/cpu

absl-py==2.1.0
    # via
    #   rouge-score
    #   tensorboard
accelerate==0.32.1
    # via
    #   -r requirements.in
    #   peft
aiofiles==24.1.0
    # via -r requirements.in
aiohappyeyeballs==2.4.0
    # via aiohttp
aiohttp==3.10.5
    # via
    #   datasets
    #   fschat
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
aiosqlite==0.20.0
    # via -r requirements.in
annotated-types==0.7.0
    # via pydantic
anyio==4.4.0
    # via
    #   httpx
    #   starlette
    #   watchfiles
attrs==23.2.0
    # via aiohttp
brotli==1.1.0
    # via py7zr
certifi==2024.7.4
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   nltk
    #   typer
    #   uvicorn
datasets==2.20.0
    # via
    #   -r requirements.in
    #   evaluate
dill==0.3.8
    # via
    #   datasets
    #   evaluate
    #   multiprocess
dnspython==2.6.1
    # via email-validator
einops==0.8.0
    # via -r requirements.in
email-validator==2.2.0
    # via fastapi
evaluate==0.4.2
    # via -r requirements.in
fastapi==0.111.1
    # via
    #   -r requirements.in
    #   fschat
fastapi-cli==0.0.4
    # via fastapi
filelock==3.15.4
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
fschat==0.2.36
    # via -r requirements.in
fsspec[http]==2024.5.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
grpcio==1.65.1
    # via tensorboard
h11==0.14.0
    # via
    #   httpcore
    #   uvicorn
httpcore==1.0.5
    # via httpx
httptools==0.6.1
    # via uvicorn
httpx==0.27.0
    # via
    #   fastapi
    #   fschat
huggingface-hub==0.24.0
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   peft
    #   tokenizers
    #   transformers
idna==3.7
    # via
    #   anyio
    #   email-validator
    #   httpx
    #   requests
    #   yarl
inflate64==1.0.0
    # via py7zr
jinja2==3.1.4
    # via
    #   fastapi
    #   torch
joblib==1.4.2
    # via nltk
latex2mathml==3.77.0
    # via markdown2
loralib==0.1.2
    # via -r requirements.in
markdown==3.6
    # via tensorboard
markdown-it-py==3.0.0
    # via rich
markdown2[all]==2.5.0
    # via fschat
markupsafe==2.1.5
    # via
    #   jinja2
    #   werkzeug
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.0.5
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via
    #   datasets
    #   evaluate
multivolumefile==0.2.3
    # via py7zr
networkx==3.3
    # via torch
nh3==0.2.18
    # via fschat
nltk==3.8.1
    # via rouge-score
numpy==1.26.4
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   fschat
    #   pandas
    #   peft
    #   pyarrow
    #   rouge-score
    #   scipy
    #   tensorboard
    #   torchvision
    #   transformers
nvidia-ml-py3==7.352.0
    # via -r requirements.in
packaging==24.1
    # via
    #   -r requirements.in
    #   accelerate
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   peft
    #   transformers
pandas==2.2.2
    # via
    #   datasets
    #   evaluate
peft==0.11.1
    # via -r requirements.in
pillow==10.4.0
    # via torchvision
prompt-toolkit==3.0.47
    # via fschat
protobuf==4.25.3
    # via tensorboard
psutil==6.0.0
    # via
    #   -r requirements.in
    #   accelerate
    #   peft
    #   py7zr
py7zr==0.21.1
    # via -r requirements.in
pyarrow==17.0.0
    # via datasets
pyarrow-hotfix==0.6
    # via datasets
pybcj==1.0.2
    # via py7zr
pycryptodomex==3.20.0
    # via py7zr
pydantic==2.8.2
    # via
    #   -r requirements.in
    #   fastapi
    #   fschat
pydantic-core==2.20.1
    # via pydantic
pygments==2.18.0
    # via
    #   markdown2
    #   rich
pyppmd==1.1.0
    # via py7zr
python-dateutil==2.9.0.post0
    # via pandas
python-dotenv==1.0.1
    # via uvicorn
python-multipart==0.0.9
    # via
    #   -r requirements.in
    #   fastapi
pytz==2024.1
    # via pandas
pyyaml==6.0.1
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   peft
    #   transformers
    #   uvicorn
    #   wavedrom
pyzstd==0.16.0
    # via py7zr
regex==2024.5.15
    # via
    #   nltk
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   datasets
    #   evaluate
    #   fschat
    #   huggingface-hub
    #   tiktoken
    #   transformers
rich==13.7.1
    # via
    #   fschat
    #   typer
rouge-score==0.1.2
    # via -r requirements.in
safetensors==0.4.3
    # via
    #   accelerate
    #   peft
    #   transformers
scipy==1.14.0
    # via -r requirements.in
sentencepiece==0.2.0
    # via -r requirements.in
shellingham==1.5.4
    # via typer
shortuuid==1.0.13
    # via fschat
six==1.16.0
    # via
    #   python-dateutil
    #   rouge-score
    #   tensorboard
    #   wavedrom
sniffio==1.3.1
    # via
    #   anyio
    #   httpx
starlette==0.37.2
    # via fastapi
svgwrite==1.4.3
    # via wavedrom
sympy==1.13.1
    # via torch
tensorboard==2.17.0
    # via -r requirements.in
tensorboard-data-server==0.7.2
    # via tensorboard
texttable==1.7.0
    # via py7zr
tiktoken==0.7.0
    # via
    #   -r requirements.in
    #   fschat
tokenizers==0.20.1
    # via transformers
torch==2.3.1
    # via
    #   -r requirements.in
    #   accelerate
    #   peft
    #   torchaudio
    #   torchvision
torchaudio==2.3.1
    # via -r requirements.in
torchvision==0.18.1
    # via -r requirements.in
tqdm==4.66.4
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   nltk
    #   peft
    #   transformers
transformers==4.45.0
    # via
    #   -r requirements.in
    #   peft
typer==0.12.3
    # via fastapi-cli
typing-extensions==4.12.2
    # via
    #   aiosqlite
    #   fastapi
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   torch
    #   typer
tzdata==2024.1
    # via pandas
urllib3==2.2.2
    # via requests
uvicorn[standard]==0.30.1
    # via
    #   fastapi
    #   fschat
uvloop==0.19.0
    # via uvicorn
watchfiles==0.22.0
    # via uvicorn
wavedrom==2.0.3.post3
    # via markdown2
wcwidth==0.2.13
    # via prompt-toolkit
websockets==12.0
    # via uvicorn
werkzeug==3.0.3
    # via tensorboard
xxhash==3.4.1
    # via
    #   datasets
    #   evaluate
yarl==1.9.4
    # via aiohttp

# The following packages are considered to be unsafe in a requirements file:
# setuptools