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Summary:
FlagScale is a comprehensive toolkit designed to support the entire lifecycle of large models, developed with the backing of the Beijing Academy of Artificial Intelligence (BAAI).
Latest version:
0.8.0
Required dependencies:
accelerate
|
aiohttp
|
black
|
coverage
|
cryptography
|
diff-cover
|
flake8
|
gitpython
|
hydra-core
|
importlib-metadata
|
isort
|
matplotlib
|
numpy
|
orjson
|
packaging
|
pandas
|
pre-commit
|
psutil
|
pybase64
|
pybind11
|
pylint
|
pytest
|
pytest-asyncio
|
pytest-cov
|
pytest-mock
|
pytest-random-order
|
pyyaml
|
ray
|
requests
|
scikit-build
|
scikit-build-core
|
sentencepiece
|
setuptools
|
tensorboard
|
torch
|
torchaudio
|
torchvision
|
tqdm
|
transformers
|
wandb
Optional dependencies:
accelerate
|
coverage
|
cryptography
|
diffusers
|
epath
|
flask
|
flask-cors
|
h5py
|
hydra-core
|
imageio
|
ks3sdk
|
matplotlib
|
multi-storage-client
|
orjson
|
pandas
|
pyarrow
|
pybase64
|
pybind11
|
pynvml
|
pytest
|
pytest-asyncio
|
pytest-cov
|
pytest-mock
|
pytest-random-order
|
python-multipart
|
pyyaml
|
qwen-vl-utils
|
ray
|
scikit-build
|
scikit-build-core
|
scipy
|
sentencepiece
|
tensorboard
|
tqdm-loggable
|
transformers
|
translate
|
types-boto3-s3
|
wandb
|
webdataset
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