# This file may be used to create an environment using: # $ conda create --name --file # platform: linux-64 _libgcc_mutex=0.1=main _openmp_mutex=5.1=1_gnu accelerate=0.22.0=pypi_0 appdirs=1.4.4=pypi_0 asttokens=2.0.5=pyhd3eb1b0_0 attrs=23.1.0=pypi_0 backcall=0.2.0=pyhd3eb1b0_0 blas=1.0=mkl brotlipy=0.7.0=py38h27cfd23_1003 bzip2=1.0.8=h7b6447c_0 ca-certificates=2023.01.10=h06a4308_0 certifi=2022.12.7=py38h06a4308_0 cffi=1.15.1=py38h5eee18b_3 charset-normalizer=2.0.4=pyhd3eb1b0_0 click=8.1.7=pypi_0 comm=0.1.2=py38h06a4308_0 cryptography=41.0.2=py38h22a60cf_0 cuda-cudart=11.8.89=0 cuda-cupti=11.8.87=0 cuda-libraries=11.8.0=0 cuda-nvrtc=11.8.89=0 cuda-nvtx=11.8.86=0 cuda-runtime=11.8.0=0 datasets=2.14.5=pypi_0 debugpy=1.5.1=py38h295c915_0 decorator=5.1.1=pyhd3eb1b0_0 docker-pycreds=0.4.0=pypi_0 entrypoints=0.4=py38h06a4308_0 executing=0.8.3=pyhd3eb1b0_0 ffmpeg=4.3=hf484d3e_0 filelock=3.9.0=py38h06a4308_0 freetype=2.12.1=h4a9f257_0 fsspec=2023.9.0=pypi_0 giflib=5.2.1=h5eee18b_3 gitdb=4.0.10=pypi_0 gitpython=3.1.35=pypi_0 gmp=6.2.1=h295c915_3 gmpy2=2.1.2=py38heeb90bb_0 gnutls=3.6.15=he1e5248_0 idna=3.4=py38h06a4308_0 intel-openmp=2023.1.0=hdb19cb5_46305 ipykernel=6.19.2=py38hb070fc8_0 ipython=8.8.0=py38h06a4308_0 jedi=0.18.1=py38h06a4308_1 jinja2=3.1.2=py38h06a4308_0 jpeg=9e=h5eee18b_1 jupyter_client=7.4.8=py38h06a4308_0 jupyter_core=5.1.1=py38h06a4308_0 lame=3.100=h7b6447c_0 lcms2=2.12=h3be6417_0 ld_impl_linux-64=2.38=h1181459_1 lerc=3.0=h295c915_0 libcublas=11.11.3.6=0 libcufft=10.9.0.58=0 libcufile=1.7.2.10=0 libcurand=10.3.3.141=0 libcusolver=11.4.1.48=0 libcusparse=11.7.5.86=0 libdeflate=1.17=h5eee18b_0 libffi=3.4.4=h6a678d5_0 libgcc-ng=11.2.0=h1234567_1 libgomp=11.2.0=h1234567_1 libiconv=1.16=h7f8727e_2 libidn2=2.3.4=h5eee18b_0 libnpp=11.8.0.86=0 libnvjpeg=11.9.0.86=0 libpng=1.6.39=h5eee18b_0 libsodium=1.0.18=h7b6447c_0 libstdcxx-ng=11.2.0=h1234567_1 libtasn1=4.19.0=h5eee18b_0 libtiff=4.5.1=h6a678d5_0 libunistring=0.9.10=h27cfd23_0 libwebp=1.2.4=h11a3e52_1 libwebp-base=1.2.4=h5eee18b_1 lz4-c=1.9.4=h6a678d5_0 markupsafe=2.1.1=py38h7f8727e_0 matplotlib-inline=0.1.6=py38h06a4308_0 mkl=2023.1.0=h213fc3f_46343 mkl-service=2.4.0=py38h5eee18b_1 mkl_fft=1.3.6=py38h417a72b_1 mkl_random=1.2.2=py38h417a72b_1 mpc=1.1.0=h10f8cd9_1 mpfr=4.0.2=hb69a4c5_1 mpmath=1.3.0=py38h06a4308_0 ncurses=6.4=h6a678d5_0 nest-asyncio=1.5.6=py38h06a4308_0 nettle=3.7.3=hbbd107a_1 networkx=3.1=py38h06a4308_0 numpy=1.24.3=py38hf6e8229_1 numpy-base=1.24.3=py38h060ed82_1 openh264=2.1.1=h4ff587b_0 openssl=3.0.10=h7f8727e_2 packaging=22.0=py38h06a4308_0 parso=0.8.3=pyhd3eb1b0_0 pathtools=0.1.2=pypi_0 peft=0.5.0=pypi_0 pexpect=4.8.0=pyhd3eb1b0_3 pickleshare=0.7.5=pyhd3eb1b0_1003 pillow=9.4.0=py38h6a678d5_0 pip=23.2.1=py38h06a4308_0 platformdirs=2.5.2=py38h06a4308_0 prompt-toolkit=3.0.36=py38h06a4308_0 protobuf=4.24.3=pypi_0 psutil=5.9.5=pypi_0 ptyprocess=0.7.0=pyhd3eb1b0_2 pure_eval=0.2.2=pyhd3eb1b0_0 pycparser=2.21=pyhd3eb1b0_0 pygments=2.11.2=pyhd3eb1b0_0 pyopenssl=23.2.0=py38h06a4308_0 pysocks=1.7.1=py38h06a4308_0 python=3.8.17=h955ad1f_0 python-dateutil=2.8.2=pyhd3eb1b0_0 pytorch=2.0.1=py3.8_cuda11.8_cudnn8.7.0_0 pytorch-cuda=11.8=h7e8668a_5 pytorch-mutex=1.0=cuda pyyaml=6.0.1=pypi_0 pyzmq=23.2.0=py38h6a678d5_0 readline=8.2=h5eee18b_0 requests=2.31.0=py38h06a4308_0 scikit-learn=1.3.0=pypi_0 sentry-sdk=1.30.0=pypi_0 setproctitle=1.3.2=pypi_0 setuptools=68.0.0=py38h06a4308_0 six=1.16.0=pyhd3eb1b0_1 smmap=5.0.0=pypi_0 sqlite=3.41.2=h5eee18b_0 stack_data=0.2.0=pyhd3eb1b0_0 sympy=1.11.1=py38h06a4308_0 tbb=2021.8.0=hdb19cb5_0 tk=8.6.12=h1ccaba5_0 torchaudio=2.0.2=py38_cu118 torchtriton=2.0.0=py38 torchvision=0.15.2=py38_cu118 tornado=6.2=py38h5eee18b_0 traitlets=5.7.1=py38h06a4308_0 transformers=4.33.1=pypi_0 typing_extensions=4.7.1=py38h06a4308_0 urllib3=1.26.16=py38h06a4308_0 wandb=0.15.10=pypi_0 wcwidth=0.2.5=pyhd3eb1b0_0 wheel=0.38.4=py38h06a4308_0 xz=5.4.2=h5eee18b_0 zeromq=4.3.4=h2531618_0 zlib=1.2.13=h5eee18b_0 zstd=1.5.5=hc292b87_0