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absl-py==2.3.1 # via tensorboard
accelerate==1.10.1 # via peft, trl, -r requirements-cuda.txt, -r requirements-rocm.txt
aiofiles==24.1.0 # via -r requirements.txt
aiohappyeyeballs==2.6.1 # via aiohttp
aiohttp==3.12.15 # via fsspec
aiosignal==1.4.0 # via aiohttp
annotated-types==0.7.0 # via pydantic
anyio==4.10.0 # via httpx, jupyter-server
argon2-cffi==25.1.0 # via jupyter-server
argon2-cffi-bindings==25.1.0 # via argon2-cffi
arrow==1.3.0 # via isoduration
astroid==3.3.11 # via pylint
asttokens==3.0.0 # via stack-data
async-lru==2.0.5 # via jupyterlab
attrs==25.3.0 # via aiohttp, jsonschema, referencing
babel==2.17.0 # via jupyterlab-server
beautifulsoup4==4.13.5 # via nbconvert
bitsandbytes==0.47.0 # via -r requirements-cuda.txt
bleach==6.2.0 # via nbconvert
cachetools==6.2.0 # via tox
certifi==2025.8.3 # via httpcore, httpx, requests, sentry-sdk
cffi==1.17.1 # via argon2-cffi-bindings
cfgv==3.4.0 # via pre-commit
chardet==5.2.0 # via tox
charset-normalizer==3.4.3 # via requests
click==8.2.1 # via wandb
colorama==0.4.6 # via tox
comm==0.2.3 # via ipykernel, ipywidgets
contourpy==1.3.3 # via matplotlib
cycler==0.12.1 # via matplotlib
datasets==4.0.0 # via trl, -r requirements.txt
debugpy==1.8.16 # via ipykernel
decorator==5.2.1 # via ipython
deepspeed==0.17.5 # via -r requirements-deepspeed.txt
defusedxml==0.7.1 # via nbconvert
dill==0.3.8 # via datasets, multiprocess, pylint
distlib==0.4.0 # via virtualenv
einops==0.8.1 # via deepspeed, flash-attn
executing==2.2.0 # via stack-data
fastjsonschema==2.21.2 # via nbformat
filelock==3.19.1 # via datasets, huggingface-hub, torch, tox, transformers, virtualenv
flash-attn==2.7.4.post1 # via -c constraints-dev.txt.in, -r requirements-cuda.txt, -r requirements-rocm.txt
fonttools==4.59.2 # via matplotlib
fqdn==1.5.1 # via jsonschema
frozenlist==1.7.0 # via aiohttp, aiosignal
fsspec==2025.3.0 # via datasets, huggingface-hub, torch
gitdb==4.0.12 # via gitpython
gitpython==3.1.45 # via wandb
grpcio==1.74.0 # via tensorboard
h11==0.16.0 # via httpcore
hf-xet==1.2.0 # via huggingface-hub
hjson==3.1.0 # via deepspeed
httpcore==1.0.9 # via httpx
httpx==0.28.1 # via jupyterlab
huggingface-hub==1.3.4 # via accelerate, datasets, peft, tokenizers, transformers, -r requirements-dev.txt
identify==2.6.13 # via pre-commit
idna==3.10 # via anyio, httpx, jsonschema, requests, yarl
iniconfig==2.1.0 # via pytest
ipykernel==6.30.1 # via jupyter, jupyter-console, jupyterlab, -r requirements-dev.txt
ipython==9.5.0 # via ipykernel, ipywidgets, jupyter-console, -r requirements-dev.txt
ipython-pygments-lexers==1.1.1 # via ipython
ipywidgets==8.1.7 # via jupyter
isoduration==20.11.0 # via jsonschema
isort==6.0.1 # via pylint, -r requirements-dev.txt
jedi==0.19.2 # via ipython
jinja2==3.1.6 # via jupyter-server, jupyterlab, jupyterlab-server, nbconvert, torch
json5==0.12.1 # via jupyterlab-server
jsonpointer==3.0.0 # via jsonschema
jsonschema==4.25.1 # via jupyter-events, jupyterlab-server, nbformat
jsonschema-specifications==2025.4.1 # via jsonschema
jupyter==1.1.1 # via -r requirements-dev.txt
jupyter-client==8.6.3 # via ipykernel, jupyter-console, jupyter-server, nbclient
jupyter-console==6.6.3 # via jupyter
jupyter-core==5.8.1 # via ipykernel, jupyter-client, jupyter-console, jupyter-server, jupyterlab, nbclient, nbconvert, nbformat
jupyter-events==0.12.0 # via jupyter-server
jupyter-lsp==2.3.0 # via jupyterlab
jupyter-server==2.17.0 # via jupyter-lsp, jupyterlab, jupyterlab-server, notebook, notebook-shim
jupyter-server-terminals==0.5.3 # via jupyter-server
jupyterlab==4.4.6 # via jupyter, notebook
jupyterlab-pygments==0.3.0 # via nbconvert
jupyterlab-server==2.27.3 # via jupyterlab, notebook
jupyterlab-widgets==3.0.15 # via ipywidgets
kiwisolver==1.4.9 # via matplotlib
lark==1.2.2 # via rfc3987-syntax
liger-kernel==0.6.2 # via -r requirements-cuda.txt
llvmlite==0.45.0 # via numba
markdown==3.8.2 # via tensorboard
markdown-it-py==4.0.0 # via rich
markupsafe==3.0.2 # via jinja2, nbconvert, werkzeug
matplotlib==3.10.6 # via -r requirements-dev.txt
matplotlib-inline==0.1.7 # via ipykernel, ipython
mccabe==0.7.0 # via pylint
mdurl==0.1.2 # via markdown-it-py
mistune==3.1.4 # via nbconvert
mpmath==1.3.0 # via sympy
msgpack==1.1.1 # via deepspeed
multidict==6.6.4 # via aiohttp, yarl
multiprocess==0.70.16 # via datasets
mypy==1.17.1 # via -r requirements-dev.txt
mypy-extensions==1.1.0 # via mypy
nbclient==0.10.2 # via nbconvert
nbconvert==7.16.6 # via jupyter, jupyter-server
nbformat==5.10.4 # via jupyter-server, nbclient, nbconvert
nest-asyncio==1.6.0 # via ipykernel
networkx==3.5 # via torch
ninja==1.13.0 # via deepspeed
nodeenv==1.9.1 # via pre-commit
notebook==7.4.5 # via jupyter
notebook-shim==0.2.4 # via jupyterlab, notebook
numba==0.62.1 # via -r requirements.txt
numpy==2.3.3 # via accelerate, bitsandbytes, contourpy, datasets, deepspeed, matplotlib, numba, pandas, peft, tensorboard, transformers, -r requirements-dev.txt, -r requirements.txt
nvidia-cublas-cu12==12.4.5.8 # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch
nvidia-cuda-cupti-cu12==12.4.127 # via torch
nvidia-cuda-nvrtc-cu12==12.4.127 # via torch
nvidia-cuda-runtime-cu12==12.4.127 # via torch
nvidia-cudnn-cu12==9.1.0.70 # via torch
nvidia-cufft-cu12==11.2.1.3 # via torch
nvidia-curand-cu12==10.3.5.147 # via torch
nvidia-cusolver-cu12==11.6.1.9 # via torch
nvidia-cusparse-cu12==12.3.1.170 # via nvidia-cusolver-cu12, torch
nvidia-cusparselt-cu12==0.6.2 # via torch
nvidia-nccl-cu12==2.21.5 # via torch
nvidia-nvjitlink-cu12==12.4.127 # via nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch
nvidia-nvtx-cu12==12.4.127 # via torch
overrides==7.7.0 # via jupyter-server
packaging==25.0 # via accelerate, datasets, deepspeed, huggingface-hub, ipykernel, jupyter-events, jupyter-server, jupyterlab, jupyterlab-server, matplotlib, nbconvert, peft, pyproject-api, pytest, tensorboard, tox, transformers, wandb, -r requirements.txt
pandas==2.3.2 # via datasets
pandocfilters==1.5.1 # via nbconvert
parso==0.8.5 # via jedi
pathspec==0.12.1 # via mypy
peft==0.18.1 # via -r requirements.txt
pexpect==4.9.0 # via ipython
pillow==11.3.0 # via matplotlib, tensorboard
platformdirs==4.4.0 # via jupyter-core, pylint, tox, virtualenv, wandb
pluggy==1.6.0 # via pytest, tox
pre-commit==4.3.0 # via -r requirements-dev.txt
prometheus-client==0.22.1 # via jupyter-server
prompt-toolkit==3.0.52 # via ipython, jupyter-console
propcache==0.3.2 # via aiohttp, yarl
protobuf==6.32.0 # via tensorboard, wandb
psutil==7.0.0 # via accelerate, deepspeed, ipykernel, peft
ptyprocess==0.7.0 # via pexpect, terminado
pure-eval==0.2.3 # via stack-data
py-cpuinfo==9.0.0 # via deepspeed, -r requirements.txt
pyarrow==21.0.0 # via datasets
pycparser==2.22 # via cffi
pydantic==2.11.7 # via deepspeed, pylint-pydantic, wandb, -r requirements.txt
pydantic-core==2.33.2 # via pydantic
pygments==2.19.2 # via ipython, ipython-pygments-lexers, jupyter-console, nbconvert, pytest, rich
pylint==3.3.8 # via pylint-plugin-utils, pylint-pydantic, -r requirements-dev.txt
pylint-plugin-utils==0.9.0 # via pylint-pydantic
pylint-pydantic==0.3.5 # via -r requirements-dev.txt
pyparsing==3.2.3 # via matplotlib
pyproject-api==1.9.1 # via tox
pytest==8.4.1 # via -r requirements-dev.txt
python-dateutil==2.9.0.post0 # via arrow, jupyter-client, matplotlib, pandas
python-json-logger==3.3.0 # via jupyter-events
pytz==2025.2 # via pandas
pyyaml==6.0.2 # via accelerate, datasets, huggingface-hub, jupyter-events, peft, pre-commit, transformers, wandb, -r requirements.txt
pyzmq==27.0.2 # via ipykernel, jupyter-client, jupyter-console, jupyter-server
referencing==0.36.2 # via jsonschema, jsonschema-specifications, jupyter-events
regex==2025.8.29 # via transformers
requests==2.32.5 # via datasets, huggingface-hub, jupyterlab-server, transformers, wandb
rfc3339-validator==0.1.4 # via jsonschema, jupyter-events
rfc3986-validator==0.1.1 # via jsonschema, jupyter-events
rfc3987-syntax==1.1.0 # via jsonschema
rich==14.1.0 # via -r requirements.txt
rpds-py==0.27.1 # via jsonschema, referencing
ruff==0.12.11 # via -r requirements-dev.txt
safetensors==0.6.2 # via accelerate, peft, transformers
send2trash==1.8.3 # via jupyter-server
sentry-sdk==2.35.1 # via wandb
setuptools==80.9.0 # via jupyterlab, tensorboard
six==1.17.0 # via python-dateutil, rfc3339-validator
smmap==5.0.2 # via gitdb
sniffio==1.3.1 # via anyio
soupsieve==2.8 # via beautifulsoup4
stack-data==0.6.3 # via ipython
sympy==1.13.1 # via torch
tensorboard==2.20.0 # via -r requirements-dev.txt
tensorboard-data-server==0.7.2 # via tensorboard
terminado==0.18.1 # via jupyter-server, jupyter-server-terminals
tinycss2==1.4.0 # via bleach
tokenizers==0.22.2 # via transformers
tomlkit==0.13.3 # via pylint
torch==2.6.0 # via accelerate, bitsandbytes, deepspeed, flash-attn, liger-kernel, peft, -c constraints-dev.txt.in, -r requirements.txt
tornado==6.5.2 # via ipykernel, jupyter-client, jupyter-server, jupyterlab, notebook, terminado
tox==4.29.0 # via tox-uv, -r requirements-dev.txt
tox-uv==1.25.0 # via -r requirements-dev.txt
tqdm==4.67.1 # via datasets, deepspeed, huggingface-hub, peft, transformers
traitlets==5.14.3 # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-console, jupyter-core, jupyter-events, jupyter-server, jupyterlab, matplotlib-inline, nbclient, nbconvert, nbformat
transformers==5.0.0 # via peft, trl, -r requirements.txt
triton==3.2.0 # via liger-kernel, torch
trl==0.22.1 # via -r requirements.txt
types-python-dateutil==2.9.0.20250822 # via arrow
types-pyyaml==6.0.12.20250822 # via -r requirements-dev.txt
types-requests==2.32.4.20250809 # via types-tqdm
types-tqdm==4.67.0.20250809 # via -r requirements-dev.txt
typing-extensions==4.15.0 # via aiosignal, anyio, beautifulsoup4, huggingface-hub, ipython, mypy, pydantic, pydantic-core, referencing, torch, typing-inspection, wandb
typing-inspection==0.4.1 # via pydantic
tzdata==2025.2 # via pandas
uri-template==1.3.0 # via jsonschema
urllib3==2.5.0 # via requests, sentry-sdk, types-requests
virtualenv==20.34.0 # via pre-commit, tox
wandb==0.21.3 # via -r requirements-dev.txt
wcwidth==0.2.13 # via prompt-toolkit
webcolors==24.11.1 # via jsonschema
webencodings==0.5.1 # via bleach, tinycss2
websocket-client==1.8.0 # via jupyter-server
werkzeug==3.1.3 # via tensorboard
wheel==0.45.1 # via -r requirements.txt
widgetsnbextension==4.0.14 # via ipywidgets
xxhash==3.5.0 # via datasets
yarl==1.20.1 # via aiohttp