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120 lines (120 loc) · 3.42 KB
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# Training / evaluation environment (Python 3.10, CUDA 12.8).
# scipy is pinned to 1.15.3: Wilcoxon p-values with ties/zeros depend on the scipy version.
# The analysis scripts were verified with Python 3.13.5, numpy 2.1.3, pandas 2.2.3,
# scipy 1.15.3, statsmodels 0.14.4, matplotlib 3.10.0 (see README).
name: adaptation-not-algorithm
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_6
- ca-certificates=2025.7.15=h06a4308_0
- expat=2.7.1=h6a678d5_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- libxcb=1.17.0=h9b100fa_0
- ncurses=6.5=h7934f7d_0
- openssl=3.0.17=h5eee18b_0
- pip=25.2=pyhc872135_0
- pthread-stubs=0.3=h0ce48e5_1
- python=3.10.18=h1a3bd86_0
- readline=8.3=hc2a1206_0
- setuptools=78.1.1=py310h06a4308_0
- sqlite=3.50.2=hb25bd0a_1
- tk=8.6.15=h54e0aa7_0
- wheel=0.45.1=py310h06a4308_0
- xorg-libx11=1.8.12=h9b100fa_1
- xorg-libxau=1.0.12=h9b100fa_0
- xorg-libxdmcp=1.1.5=h9b100fa_0
- xorg-xorgproto=2024.1=h5eee18b_1
- xz=5.6.4=h5eee18b_1
- zlib=1.2.13=h5eee18b_1
- pip:
- accelerate==1.10.1
- aiohappyeyeballs==2.6.1
- aiohttp==3.12.15
- aiosignal==1.4.0
- async-timeout==5.0.1
- attrs==25.3.0
- bitsandbytes==0.47.0
- certifi==2025.8.3
- charset-normalizer==3.4.3
- cut-cross-entropy==25.1.1
- datasets==3.6.0
- dill==0.3.8
- docstring-parser==0.17.0
- filelock==3.19.1
- frozenlist==1.7.0
- fsspec==2025.3.0
- hf-transfer==0.1.9
- hf-xet==1.1.9
- huggingface-hub==0.34.4
- idna==3.10
- jinja2==3.1.6
- markdown-it-py==4.0.0
- markupsafe==3.0.2
- mdurl==0.1.2
- mpmath==1.3.0
- msgspec==0.19.0
- multidict==6.6.4
- multiprocess==0.70.16
- networkx==3.4.2
- numpy==2.2.6
- nvidia-cublas-cu12==12.8.4.1
- nvidia-cuda-cupti-cu12==12.8.90
- nvidia-cuda-nvrtc-cu12==12.8.93
- nvidia-cuda-runtime-cu12==12.8.90
- nvidia-cudnn-cu12==9.10.2.21
- nvidia-cufft-cu12==11.3.3.83
- nvidia-cufile-cu12==1.13.1.3
- nvidia-curand-cu12==10.3.9.90
- nvidia-cusolver-cu12==11.7.3.90
- nvidia-cusparse-cu12==12.5.8.93
- nvidia-cusparselt-cu12==0.7.1
- nvidia-nccl-cu12==2.27.3
- nvidia-nvjitlink-cu12==12.8.93
- nvidia-nvtx-cu12==12.8.90
- packaging==25.0
- pandas==2.3.2
- peft==0.17.1
- pillow==11.3.0
- propcache==0.3.2
- protobuf==6.32.0
- psutil==7.0.0
- pyarrow==21.0.0
- pygments==2.19.2
- python-dateutil==2.9.0.post0
- pytz==2025.2
- pyyaml==6.0.2
- regex==2025.9.1
- requests==2.32.5
- rich==14.1.0
- safetensors==0.6.2
- scipy==1.15.3
- statsmodels==0.14.4
- matplotlib==3.10.0
- sentencepiece==0.2.1
- shtab==1.7.2
- six==1.17.0
- sympy==1.14.0
- tokenizers==0.22.0
- torch==2.8.0
- torchao==0.13.0
- tqdm==4.67.1
- transformers==4.56.1
- triton==3.4.0
- trl==0.22.2
- typeguard==4.4.4
- typing-extensions==4.15.0
- tyro==0.9.31
- tzdata==2025.2
- unsloth==2025.9.1
- unsloth-zoo==2025.9.2
- urllib3==2.5.0
- xxhash==3.5.0
- yarl==1.20.1