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crisesStorylinesRAG
File size: 8,638 Bytes 
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name: /scratch/consose-011/conda/storylines-env-accel-011
channels:
  - plotly
  - pytorch
  - nvidia
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - absl-py=2.1.0=pyhd8ed1ab_0
  - archspec=0.2.1=pyhd3eb1b0_0
  - blas=1.0=mkl
  - blessed=1.19.1=pyhe4f9e05_2
  - boltons=23.0.0=py312h06a4308_0
  - bottleneck=1.3.7=py312ha883a20_0
  - brotli=1.0.9=h5eee18b_8
  - brotli-bin=1.0.9=h5eee18b_8
  - brotli-python=1.0.9=py312h6a678d5_7
  - bzip2=1.0.8=h7b6447c_0
  - c-ares=1.19.1=h5eee18b_0
  - ca-certificates=2024.8.30=hbcca054_0
  - certifi=2024.8.30=pyhd8ed1ab_0
  - cffi=1.16.0=py312h5eee18b_0
  - charset-normalizer=2.0.4=pyhd3eb1b0_0
  - click=8.1.7=unix_pyh707e725_0
  - colorama=0.4.6=pyhd8ed1ab_0
  - conda-content-trust=0.2.0=py312h06a4308_0
  - conda-package-handling=2.2.0=py312h06a4308_0
  - conda-package-streaming=0.9.0=py312h06a4308_0
  - contourpy=1.2.0=py312hdb19cb5_0
  - cryptography=41.0.7=py312hdda0065_0
  - cuda-cudart=12.1.105=0
  - cuda-cupti=12.1.105=0
  - cuda-libraries=12.1.0=0
  - cuda-nvrtc=12.1.105=0
  - cuda-nvtx=12.1.105=0
  - cuda-opencl=12.4.127=0
  - cuda-runtime=12.1.0=0
  - cuda-version=10.1=h0a949dd_3
  - cudatoolkit=10.1.243=h036e899_8
  - cycler=0.11.0=pyhd3eb1b0_0
  - cyrus-sasl=2.1.28=h52b45da_1
  - dbus=1.13.18=hb2f20db_0
  - distro=1.8.0=py312h06a4308_0
  - expat=2.5.0=h6a678d5_0
  - ffmpeg=4.3=hf484d3e_0
  - filelock=3.13.1=py312h06a4308_0
  - fmt=9.1.0=hdb19cb5_0
  - fontconfig=2.14.1=h4c34cd2_2
  - fonttools=4.51.0=py312h5eee18b_0
  - freetype=2.12.1=h4a9f257_0
  - glib=2.78.4=h6a678d5_0
  - glib-tools=2.78.4=h6a678d5_0
  - gmp=6.2.1=h295c915_3
  - gnutls=3.6.15=he1e5248_0
  - gpustat=1.1.1=pyhd8ed1ab_0
  - gst-plugins-base=1.14.1=h6a678d5_1
  - gstreamer=1.14.1=h5eee18b_1
  - icu=73.1=h6a678d5_0
  - idna=3.4=py312h06a4308_0
  - importlib-metadata=8.0.0=pyha770c72_0
  - intel-openmp=2023.1.0=hdb19cb5_46306
  - isodate=0.6.1=pyhd8ed1ab_0
  - jinja2=3.1.4=py312h06a4308_0
  - joblib=1.4.2=pyhd8ed1ab_0
  - jpeg=9e=h5eee18b_1
  - jsonpointer=2.1=pyhd3eb1b0_0
  - kiwisolver=1.4.4=py312h6a678d5_0
  - krb5=1.20.1=h143b758_1
  - lame=3.100=h7b6447c_0
  - lcms2=2.12=h3be6417_0
  - ld_impl_linux-64=2.38=h1181459_1
  - lerc=3.0=h295c915_0
  - libabseil=20240116.2=cxx17_h6a678d5_0
  - libarchive=3.6.2=h6ac8c49_2
  - libbrotlicommon=1.0.9=h5eee18b_8
  - libbrotlidec=1.0.9=h5eee18b_8
  - libbrotlienc=1.0.9=h5eee18b_8
  - libclang=14.0.6=default_hc6dbbc7_1
  - libclang13=14.0.6=default_he11475f_1
  - libcublas=12.1.0.26=0
  - libcufft=11.0.2.4=0
  - libcufile=1.9.1.3=0
  - libcups=2.4.2=h2d74bed_1
  - libcurand=10.3.5.147=0
  - libcurl=8.5.0=h251f7ec_0
  - libcusolver=11.4.4.55=0
  - libcusparse=12.0.2.55=0
  - libdeflate=1.17=h5eee18b_1
  - libedit=3.1.20230828=h5eee18b_0
  - libev=4.33=h7f8727e_1
  - libffi=3.4.4=h6a678d5_0
  - libgcc-ng=11.2.0=h1234567_1
  - libglib=2.78.4=hdc74915_0
  - libgomp=11.2.0=h1234567_1
  - libiconv=1.16=h5eee18b_3
  - libidn2=2.3.4=h5eee18b_0
  - libjpeg-turbo=2.0.0=h9bf148f_0
  - libllvm14=14.0.6=hdb19cb5_3
  - libmamba=1.5.3=haf1ee3a_0
  - libmambapy=1.5.3=py312h2dafd23_0
  - libnghttp2=1.57.0=h2d74bed_0
  - libnpp=12.0.2.50=0
  - libnvjitlink=12.1.105=0
  - libnvjpeg=12.1.1.14=0
  - libpng=1.6.39=h5eee18b_0
  - libpq=12.17=hdbd6064_0
  - libprotobuf=4.25.3=he621ea3_0
  - libsolv=0.7.24=he621ea3_0
  - libssh2=1.10.0=hdbd6064_2
  - 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
  - libuuid=1.41.5=h5eee18b_0
  - libwebp-base=1.3.2=h5eee18b_0
  - libxcb=1.15=h7f8727e_0
  - libxkbcommon=1.0.1=h5eee18b_1
  - libxml2=2.10.4=hf1b16e4_1
  - llvm-openmp=14.0.6=h9e868ea_0
  - lz4-c=1.9.4=h6a678d5_0
  - markupsafe=2.1.3=py312h5eee18b_0
  - menuinst=2.0.2=py312h06a4308_0
  - mkl=2023.1.0=h213fc3f_46344
  - mkl-service=2.4.0=py312h5eee18b_1
  - mkl_fft=1.3.8=py312h5eee18b_0
  - mkl_random=1.2.4=py312hdb19cb5_0
  - mpmath=1.3.0=py312h06a4308_0
  - mysql=5.7.24=h721c034_2
  - ncurses=6.4=h6a678d5_0
  - nettle=3.7.3=hbbd107a_1
  - networkx=3.3=py312h06a4308_0
  - nltk=3.8.1=pyhd8ed1ab_0
  - numexpr=2.8.7=py312hf827012_0
  - numpy=1.26.4=py312hc5e2394_0
  - numpy-base=1.26.4=py312h0da6c21_0
  - openh264=2.1.1=h4ff587b_0
  - openjpeg=2.4.0=h9ca470c_2
  - openssl=3.0.14=h5eee18b_0
  - packaging=23.1=py312h06a4308_0
  - pandas=2.2.2=py312h526ad5a_0
  - pcre2=10.42=hebb0a14_0
  - pillow=10.4.0=py312h5eee18b_0
  - pip=23.3.1=py312h06a4308_0
  - platformdirs=3.10.0=py312h06a4308_0
  - plotly=5.24.1=py_0
  - pluggy=1.0.0=py312h06a4308_1
  - ply=3.11=py312h06a4308_1
  - protobuf=4.25.3=py312h12ddb61_0
  - pybind11-abi=4=hd3eb1b0_1
  - pycosat=0.6.6=py312h5eee18b_0
  - pycparser=2.21=pyhd3eb1b0_0
  - pyparsing=3.1.2=pyhd8ed1ab_0
  - pyqt=5.15.10=py312h6a678d5_0
  - pyqt5-sip=12.13.0=py312h5eee18b_0
  - pysocks=1.7.1=py312h06a4308_0
  - python=3.12.1=h996f2a0_0
  - python-benedict=0.34.0=pyhff2d567_0
  - python-dateutil=2.9.0post0=py312h06a4308_2
  - python-fsutil=0.14.1=pyhd8ed1ab_0
  - python-slugify=8.0.4=pyhd8ed1ab_0
  - python-tzdata=2024.1=pyhd8ed1ab_0
  - pytorch=2.3.1=py3.12_cuda12.1_cudnn8.9.2_0
  - pytorch-cuda=12.1=ha16c6d3_5
  - pytorch-mutex=1.0=cuda
  - pytz=2024.1=py312h06a4308_0
  - pyyaml=6.0.1=py312h5eee18b_0
  - qt-main=5.15.2=h53bd1ea_10
  - rdflib=7.0.0=pyhd8ed1ab_0
  - readline=8.2=h5eee18b_0
  - reproc=14.2.4=h295c915_1
  - reproc-cpp=14.2.4=h295c915_1
  - requests=2.32.3=pyhd8ed1ab_0
  - rouge-score=0.1.2=pyhd8ed1ab_0
  - ruamel.yaml=0.17.21=py312h5eee18b_0
  - setuptools=68.2.2=py312h06a4308_0
  - sip=6.7.12=py312h6a678d5_0
  - six=1.16.0=pyhd3eb1b0_1
  - sqlite=3.41.2=h5eee18b_0
  - sympy=1.13.0=pyh04b8f61_3
  - tbb=2021.8.0=hdb19cb5_0
  - text-unidecode=1.3=pyhd8ed1ab_1
  - tk=8.6.12=h1ccaba5_0
  - torchaudio=2.3.1=py312_cu121
  - torchvision=0.18.1=py312_cu121
  - tornado=6.4.1=py312h5eee18b_0
  - tqdm=4.66.4=pyhd8ed1ab_0
  - truststore=0.8.0=py312h06a4308_0
  - typing_extensions=4.11.0=py312h06a4308_0
  - tzdata=2024a=h0c530f3_0
  - unicodedata2=15.1.0=py312h5eee18b_0
  - urllib3=2.1.0=py312h06a4308_1
  - wcwidth=0.2.13=pyhd8ed1ab_0
  - wheel=0.41.2=py312h06a4308_0
  - xz=5.4.5=h5eee18b_0
  - yaml=0.2.5=h7b6447c_0
  - yaml-cpp=0.8.0=h6a678d5_0
  - zipp=3.19.2=pyhd8ed1ab_0
  - zlib=1.2.13=h5eee18b_0
  - zstandard=0.19.0=py312h5eee18b_0
  - zstd=1.5.5=hc292b87_0
  - pip:
      - accelerate==0.32.1
      - aiofiles==23.2.1
      - aiohttp==3.9.5
      - aiosignal==1.3.1
      - annotated-types==0.7.0
      - anyio==4.6.0
      - attrs==23.2.0
      - bert-score==0.3.13
      - bitsandbytes==0.43.3
      - coloredlogs==15.0.1
      - cuda-python==12.4.0
      - datasets==2.20.0
      - deepspeed==0.14.4
      - dill==0.3.8
      - evaluate==0.4.2
      - fastapi==0.115.0
      - ffmpy==0.4.0
      - flatbuffers==24.3.25
      - frozenlist==1.4.1
      - fsspec==2024.5.0
      - gliner==0.2.13
      - gradio==5.0.1
      - gradio-client==1.4.0
      - greenlet==3.1.1
      - h11==0.14.0
      - hjson==3.1.0
      - httpcore==1.0.6
      - httpx==0.27.2
      - huggingface-hub==0.25.2
      - humanfriendly==10.0
      - ipynb-py-convert==0.4.6
      - jiter==0.6.1
      - jsonpatch==1.33
      - langchain==0.3.3
      - langchain-core==0.3.10
      - langchain-openai==0.2.2
      - langchain-text-splitters==0.3.0
      - langsmith==0.1.135
      - markdown-it-py==3.0.0
      - matplotlib==3.9.1.post1
      - mdurl==0.1.2
      - multidict==6.0.5
      - multiprocess==0.70.16
      - ninja==1.11.1.1
      - nvidia-ml-py==12.555.43
      - onnxruntime==1.19.2
      - openai==1.51.2
      - orjson==3.10.7
      - peft==0.12.0
      - psutil==6.0.0
      - py-cpuinfo==9.0.0
      - pyarrow==17.0.0
      - pyarrow-hotfix==0.6
      - pydantic==2.8.2
      - pydantic-core==2.20.1
      - pydantic-settings==2.5.2
      - pydub==0.25.1
      - pygments==2.18.0
      - python-dotenv==1.0.1
      - python-multipart==0.0.12
      - regex==2024.5.15
      - requests-toolbelt==1.0.0
      - rich==13.9.2
      - ruff==0.6.9
      - safetensors==0.4.3
      - scikit-learn==1.5.1
      - scipy==1.14.0
      - semantic-version==2.10.0
      - sentencepiece==0.2.0
      - shellingham==1.5.4
      - sniffio==1.3.1
      - sqlalchemy==2.0.36
      - starlette==0.38.6
      - tenacity==8.5.0
      - threadpoolctl==3.5.0
      - tiktoken==0.8.0
      - tokenizers==0.19.1
      - tomlkit==0.12.0
      - torch-testing==0.0.2
      - transformers==4.42.4
      - typer==0.12.5
      - uvicorn==0.31.1
      - websockets==12.0
      - xxhash==3.4.1
      - yarl==1.9.4
prefix: /scratch/consose-011/conda/storylines-env-accel-011