我有一台 macOS Ventura 13.6.4 MacBook Pro。我已经使用适用于 macO 的 anaconda 安装程序安装了 python 3.11.5。我正在尝试从 yaml 文件创建 conda 虚拟 python 环境。下面是我在终端中运行的脚本，以及 yaml 文件和我收到的错误消息。您能否告诉我导致错误消息的原因以及如何修改 yaml 文件或 bash 脚本以避免错误。
bash 脚本：
conda env create -f llm_110623.yml
错误信息：
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- libunistring==0.9.10=h27cfd23_0
- libstdcxx-ng==11.2.0=h1234567_1
- tbb==2021.8.0=hdb19cb5_0
- libopus==1.3.1=h7b6447c_0
- psutil==5.9.0=py310h5eee18b_0
- bottleneck==1.3.5=py310ha9d4c09_0
- tornado==6.2=py310h5eee18b_0
- abseil-cpp==20211102.0=hd4dd3e8_0
- networkx==2.8.4=py310h06a4308_1
- orc==1.7.4=hb3bc3d3_1
- aws-c-common==0.6.8=h5eee18b_1
- idna==3.4=py310h06a4308_0
- libbrotlicommon==1.0.9=h5eee18b_7
- libvpx==1.7.0=h439df22_0
- tokenizers==0.13.3=py310h22610ee_0
- libcusolver==11.4.0.1=0
- ld_impl_linux-64==2.38=h1181459_1
- yaml==0.2.5=h7b6447c_0
- jupyter_core==5.3.0=py310h06a4308_0
- multidict==6.0.2=py310h5eee18b_0
- comm==0.1.2=py310h06a4308_0
- grpc-cpp==1.48.2=he1ff14a_1
- markupsafe==2.1.1=py310h7f8727e_0
- frozenlist==1.3.3=py310h5eee18b_0
- xformers==0.0.19=py310_cu11.8.0_pyt2.0.0
- gnutls==3.6.15=he1e5248_0
- jinja2==3.1.2=py310h06a4308_0
- libgomp==11.2.0=h1234567_1
- libwebp-base==1.2.4=h5eee18b_1
- wheel==0.38.4=py310h06a4308_0
- lz4-c==1.9.4=h6a678d5_0
- giflib==5.2.1=h5eee18b_3
- libtiff==4.5.0=h6a678d5_2
- re2==2022.04.01=h295c915_0
- sympy==1.11.1=py310h06a4308_0
- libidn2==2.3.4=h5eee18b_0
- libgcc-ng==11.2.0=h1234567_1
- libcurl==8.1.1=h251f7ec_1
- libgfortran5==11.2.0=h1234567_1
- chardet==4.0.0=py310h06a4308_1003
- libwebp==1.2.4=h11a3e52_1
- zlib==1.2.13=h5eee18b_0
- libprotobuf==3.20.3=he621ea3_0
- yarl==1.8.1=py310h5eee18b_0
- bzip2==1.0.8=h7b6447c_0
- freetype==2.12.1=h4a9f257_0
- cuda-cupti==11.7.101=0
- readline==8.2=h5eee18b_0
- ffmpeg==4.2.2=h20bf706_0
- numpy-base==1.25.0=py310hb5e798b_0
- jedi==0.18.1=py310h06a4308_1
- cuda-nvrtc==11.7.99=0
- libcusparse==11.7.4.91=0
- libsodium==1.0.18=h7b6447c_0
- xz==5.4.2=h5eee18b_0
- brotlipy==0.7.0=py310h7f8727e_1002
- ipykernel==6.19.2=py310h2f386ee_0
- pillow==9.4.0=py310h6a678d5_0
- cryptography==41.0.2=py310h22a60cf_0
- mkl-service==2.4.0=py310h5eee18b_1
- lcms2==2.12=h3be6417_0
- colorama==0.4.6=py310h06a4308_0
- libev==4.33=h7f8727e_1
- mkl_random==1.2.2=py310h1128e8f_1
- mpc==1.1.0=h10f8cd9_1
- aws-c-event-stream==0.1.6=h6a678d5_6
- pytorch-cuda==11.7=h778d358_5
- filelock==3.9.0=py310h06a4308_0
- x264==1!157.20191217=h7b6447c_0
- arrow-cpp==11.0.0=h374c478_1
- tqdm==4.65.0=py310h2f386ee_0
- certifi==2023.7.22=py310h06a4308_0
- requests==2.31.0=py310h06a4308_0
- traitlets==5.7.1=py310h06a4308_0
- libcublas==11.10.3.66=0
- gmpy2==2.1.2=py310heeb90bb_0
- cuda-runtime==11.7.1=0
- krb5==1.20.1=h143b758_1
- lerc==3.0=h295c915_0
- intel-openmp==2023.1.0=hdb19cb5_46305
- libtasn1==4.19.0=h5eee18b_0
- libboost==1.73.0=h28710b8_12
- libthrift==0.15.0=h1795dd8_2
- transformers==4.29.2=py310h06a4308_0
- libevent==2.1.12=hdbd6064_1
- libpng==1.6.39=h5eee18b_0
- attrs==23.1.0=py310h06a4308_0
- urllib3==1.26.16=py310h06a4308_0
- xxhash==0.8.0=h7f8727e_3
- libnghttp2==1.52.0=h2d74bed_1
- debugpy==1.5.1=py310h295c915_0
- cuda-libraries==11.7.1=0
- pandas==2.1.1=py310h1128e8f_0
- mkl==2023.1.0=h6d00ec8_46342
- joblib==1.2.0=py310h06a4308_0
- jpeg==9e=h5eee18b_1
- nettle==3.7.3=hbbd107a_1
- aws-checksums==0.1.11=h5eee18b_2
- aws-sdk-cpp==1.8.185=h721c034_1
- mkl_fft==1.3.6=py310h1128e8f_1
- snappy==1.1.9=h295c915_0
- libffi==3.4.4=h6a678d5_0
- et_xmlfile==1.1.0=py310h06a4308_0
- pyopenssl==23.2.0=py310h06a4308_0
- libgfortran-ng==11.2.0=h00389a5_1
- mpmath==1.3.0=py310h06a4308_0
- ncurses==6.4=h6a678d5_0
- pyzmq==25.1.0=py310h6a678d5_0
- pandas-stubs==1.5.3.230203=py310h06a4308_0
- datasets==2.12.0=py310h06a4308_0
- click==8.1.7=py310h06a4308_0
- gmp==6.2.1=h295c915_3
- cudnn==7.6.5=cuda10.1_0
- huggingface_hub==0.15.1=py310h06a4308_0
- multiprocess==0.70.14=py310h06a4308_0
- scikit-learn==1.0.1=py310h00e6091_0
- sqlite==3.41.2=h5eee18b_0
- cuda-cudart==11.7.99=0
- icu==58.2=he6710b0_3
- packaging==23.0=py310h06a4308_0
- dill==0.3.6=py310h06a4308_0
- lame==3.100=h7b6447c_0
- fsspec==2023.9.2=py310h06a4308_0
- libbrotlidec==1.0.9=h5eee18b_7
- openpyxl==3.0.10=py310h5eee18b_0
- libssh2==1.10.0=hdbd6064_2
- torchaudio==2.0.0=py310_cu117
- pygments==2.15.1=py310h06a4308_1
- pip==23.2.1=py310h06a4308_0
- numpy==1.25.0=py310h5f9d8c6_0
- glog==0.5.0=h2531618_0
- torchvision==0.15.0=py310_cu117
- jupyter_client==8.1.0=py310h06a4308_0
- libcurand==10.3.3.53=0
- libbrotlienc==1.0.9=h5eee18b_7
- libcufft==10.7.2.124=h4fbf590_0
- libedit==3.1.20221030=h5eee18b_0
- c-ares==1.19.0=h5eee18b_0
- numexpr==2.8.4=py310h85018f9_1
- pytz==2023.3.post1=py310h06a4308_0
- pytorch==2.0.0=py3.10_cuda11.7_cudnn8.5.0_0
- ca-certificates==2023.08.22=h06a4308_0
- types-pytz==2022.4.0.0=py310h06a4308_1
- openh264==2.1.1=h4ff587b_0
- regex==2023.10.3=py310h5eee18b_0
- zeromq==4.3.4=h2531618_0
- gflags==2.2.2=he6710b0_0
- mpfr==4.0.2=hb69a4c5_1
- _openmp_mutex==5.1=1_gnu
- libnpp==11.7.4.75=0
- pyarrow==11.0.0=py310h468efa6_1
- utf8proc==2.6.1=h27cfd23_0
- boost-cpp==1.73.0=h7f8727e_12
- cudatoolkit==10.1.243=h6bb024c_0
- scipy==1.10.1=py310h5f9d8c6_1
- libnvjpeg==11.8.0.2=0
- libdeflate==1.17=h5eee18b_0
- libuuid==1.41.5=h5eee18b_0
- pysocks==1.7.1=py310h06a4308_0
- python-xxhash==2.0.2=py310h5eee18b_1
- torchtriton==2.0.0=py310
- zstd==1.5.5=hc292b87_0
- cuda-nvtx==11.7.91=0
- cffi==1.15.1=py310h5eee18b_3
- prompt-toolkit==3.0.36=py310h06a4308_0
- async-timeout==4.0.2=py310h06a4308_0
- pyyaml==6.0=py310h5eee18b_1
- platformdirs==2.5.2=py310h06a4308_0
- aiohttp==3.8.5=py310h5eee18b_0
- openssl==3.0.12=h7f8727e_0
- python==3.10.12=h955ad1f_0
- ipython==8.12.0=py310h06a4308_0
- matplotlib-inline==0.1.6=py310h06a4308_0
- setuptools==68.0.0=py310h06a4308_0
- libcufile==1.7.0.149=0
- tk==8.6.12=h1ccaba5_0
yaml 文件 llm_110623.yml：
name: llm_110623
channels:
- xformers
- pytorch
- conda-forge/label/cf202003
- nvidia
- anaconda
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- abseil-cpp=20211102.0=hd4dd3e8_0
- aiohttp=3.8.5=py310h5eee18b_0
- aiosignal=1.2.0=pyhd3eb1b0_0
- appdirs=1.4.4=pyhd3eb1b0_0
- arrow-cpp=11.0.0=h374c478_1
- asttokens=2.0.5=pyhd3eb1b0_0
- async-timeout=4.0.2=py310h06a4308_0
- attrs=23.1.0=py310h06a4308_0
- aws-c-common=0.6.8=h5eee18b_1
- aws-c-event-stream=0.1.6=h6a678d5_6
- aws-checksums=0.1.11=h5eee18b_2
- aws-sdk-cpp=1.8.185=h721c034_1
- backcall=0.2.0=pyhd3eb1b0_0
- blas=1.0=mkl
- boost-cpp=1.73.0=h7f8727e_12
- bottleneck=1.3.5=py310ha9d4c09_0
- brotlipy=0.7.0=py310h7f8727e_1002
- bzip2=1.0.8=h7b6447c_0
- c-ares=1.19.0=h5eee18b_0
- ca-certificates=2023.08.22=h06a4308_0
- certifi=2023.7.22=py310h06a4308_0
- cffi=1.15.1=py310h5eee18b_3
- chardet=4.0.0=py310h06a4308_1003
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- click=8.1.7=py310h06a4308_0
- colorama=0.4.6=py310h06a4308_0
- comm=0.1.2=py310h06a4308_0
- cryptography=41.0.2=py310h22a60cf_0
- cuda-cudart=11.7.99=0
- cuda-cupti=11.7.101=0
- cuda-libraries=11.7.1=0
- cuda-nvrtc=11.7.99=0
- cuda-nvtx=11.7.91=0
- cuda-runtime=11.7.1=0
- cudatoolkit=10.1.243=h6bb024c_0
- cudnn=7.6.5=cuda10.1_0
- datasets=2.12.0=py310h06a4308_0
- debugpy=1.5.1=py310h295c915_0
- decorator=5.1.1=pyhd3eb1b0_0
- dill=0.3.6=py310h06a4308_0
- einops=0.2.0=py_0
- et_xmlfile=1.1.0=py310h06a4308_0
- executing=0.8.3=pyhd3eb1b0_0
- ffmpeg=4.2.2=h20bf706_0
- filelock=3.9.0=py310h06a4308_0
- freetype=2.12.1=h4a9f257_0
- frozenlist=1.3.3=py310h5eee18b_0
- fsspec=2023.9.2=py310h06a4308_0
- gflags=2.2.2=he6710b0_0
- giflib=5.2.1=h5eee18b_3
- glog=0.5.0=h2531618_0
- gmp=6.2.1=h295c915_3
- gmpy2=2.1.2=py310heeb90bb_0
- gnutls=3.6.15=he1e5248_0
- grpc-cpp=1.48.2=he1ff14a_1
- huggingface_hub=0.15.1=py310h06a4308_0
- icu=58.2=he6710b0_3
- idna=3.4=py310h06a4308_0
- intel-openmp=2023.1.0=hdb19cb5_46305
- ipykernel=6.19.2=py310h2f386ee_0
- ipython=8.12.0=py310h06a4308_0
- jedi=0.18.1=py310h06a4308_1
- jinja2=3.1.2=py310h06a4308_0
- joblib=1.2.0=py310h06a4308_0
- jpeg=9e=h5eee18b_1
- jupyter_client=8.1.0=py310h06a4308_0
- jupyter_core=5.3.0=py310h06a4308_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
- libboost=1.73.0=h28710b8_12
- libbrotlicommon=1.0.9=h5eee18b_7
- libbrotlidec=1.0.9=h5eee18b_7
- libbrotlienc=1.0.9=h5eee18b_7
- libcublas=11.10.3.66=0
- libcufft=10.7.2.124=h4fbf590_0
- libcufile=1.7.0.149=0
- libcurand=10.3.3.53=0
- libcurl=8.1.1=h251f7ec_1
- libcusolver=11.4.0.1=0
- libcusparse=11.7.4.91=0
- libdeflate=1.17=h5eee18b_0
- libedit=3.1.20221030=h5eee18b_0
- libev=4.33=h7f8727e_1
- libevent=2.1.12=hdbd6064_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgfortran-ng=11.2.0=h00389a5_1
- libgfortran5=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libidn2=2.3.4=h5eee18b_0
- libnghttp2=1.52.0=h2d74bed_1
- libnpp=11.7.4.75=0
- libnvjpeg=11.8.0.2=0
- libopus=1.3.1=h7b6447c_0
- libpng=1.6.39=h5eee18b_0
- libprotobuf=3.20.3=he621ea3_0
- libsodium=1.0.18=h7b6447c_0
- libssh2=1.10.0=hdbd6064_2
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.19.0=h5eee18b_0
- libthrift=0.15.0=h1795dd8_2
- libtiff=4.5.0=h6a678d5_2
- libunistring=0.9.10=h27cfd23_0
- libuuid=1.41.5=h5eee18b_0
- libvpx=1.7.0=h439df22_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=py310h7f8727e_0
- matplotlib-inline=0.1.6=py310h06a4308_0
- mkl=2023.1.0=h6d00ec8_46342
- mkl-service=2.4.0=py310h5eee18b_1
- mkl_fft=1.3.6=py310h1128e8f_1
- mkl_random=1.2.2=py310h1128e8f_1
- mpc=1.1.0=h10f8cd9_1
- mpfr=4.0.2=hb69a4c5_1
- mpmath=1.3.0=py310h06a4308_0
- multidict=6.0.2=py310h5eee18b_0
- multiprocess=0.70.14=py310h06a4308_0
- ncurses=6.4=h6a678d5_0
- nettle=3.7.3=hbbd107a_1
- networkx=2.8.4=py310h06a4308_1
- numexpr=2.8.4=py310h85018f9_1
- numpy=1.25.0=py310h5f9d8c6_0
- numpy-base=1.25.0=py310hb5e798b_0
- openh264=2.1.1=h4ff587b_0
- openpyxl=3.0.10=py310h5eee18b_0
- openssl=3.0.12=h7f8727e_0
- orc=1.7.4=hb3bc3d3_1
- packaging=23.0=py310h06a4308_0
- pandas=2.1.1=py310h1128e8f_0
- pandas-stubs=1.5.3.230203=py310h06a4308_0
- parso=0.8.3=pyhd3eb1b0_0
- pexpect=4.8.0=pyhd3eb1b0_3
- pickleshare=0.7.5=pyhd3eb1b0_1003
- pillow=9.4.0=py310h6a678d5_0
- pip=23.2.1=py310h06a4308_0
- platformdirs=2.5.2=py310h06a4308_0
- pooch=1.4.0=pyhd3eb1b0_0
- prompt-toolkit=3.0.36=py310h06a4308_0
- psutil=5.9.0=py310h5eee18b_0
- ptyprocess=0.7.0=pyhd3eb1b0_2
- pure_eval=0.2.2=pyhd3eb1b0_0
- pyarrow=11.0.0=py310h468efa6_1
- pycparser=2.21=pyhd3eb1b0_0
- pygments=2.15.1=py310h06a4308_1
- pyopenssl=23.2.0=py310h06a4308_0
- pysocks=1.7.1=py310h06a4308_0
- python=3.10.12=h955ad1f_0
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python-tzdata=2023.3=pyhd3eb1b0_0
- python-xxhash=2.0.2=py310h5eee18b_1
- pytorch=2.0.0=py3.10_cuda11.7_cudnn8.5.0_0
- pytorch-cuda=11.7=h778d358_5
- pytorch-mutex=1.0=cuda
- pytz=2023.3.post1=py310h06a4308_0
- pyyaml=6.0=py310h5eee18b_1
- pyzmq=25.1.0=py310h6a678d5_0
- re2=2022.04.01=h295c915_0
- readline=8.2=h5eee18b_0
- regex=2023.10.3=py310h5eee18b_0
- requests=2.31.0=py310h06a4308_0
- responses=0.13.3=pyhd3eb1b0_0
- sacremoses=0.0.43=pyhd3eb1b0_0
- scikit-learn=1.0.1=py310h00e6091_0
- scipy=1.10.1=py310h5f9d8c6_1
- setuptools=68.0.0=py310h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- snappy=1.1.9=h295c915_0
- sqlite=3.41.2=h5eee18b_0
- stack_data=0.2.0=pyhd3eb1b0_0
- sympy=1.11.1=py310h06a4308_0
- tbb=2021.8.0=hdb19cb5_0
- threadpoolctl=2.2.0=pyh0d69192_0
- tk=8.6.12=h1ccaba5_0
- tokenizers=0.13.3=py310h22610ee_0
- torchaudio=2.0.0=py310_cu117
- torchtriton=2.0.0=py310
- torchvision=0.15.0=py310_cu117
- tornado=6.2=py310h5eee18b_0
- tqdm=4.65.0=py310h2f386ee_0
- traitlets=5.7.1=py310h06a4308_0
- transformers=4.29.2=py310h06a4308_0
- types-pytz=2022.4.0.0=py310h06a4308_1
- tzdata=2023c=h04d1e81_0
- urllib3=1.26.16=py310h06a4308_0
- utf8proc=2.6.1=h27cfd23_0
- wcwidth=0.2.5=pyhd3eb1b0_0
- wheel=0.38.4=py310h06a4308_0
- x264=1!157.20191217=h7b6447c_0
- xformers=0.0.19=py310_cu11.8.0_pyt2.0.0
- xxhash=0.8.0=h7f8727e_3
- xz=5.4.2=h5eee18b_0
- yaml=0.2.5=h7b6447c_0
- yarl=1.8.1=py310h5eee18b_0
- zeromq=4.3.4=h2531618_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.5=hc292b87_0
- pip:
- absl-py==2.0.0
- accelerate==0.24.1
- aiostream==0.5.2
- annotated-types==0.6.0
- anyio==3.7.1
- asgiref==3.7.2
- backoff==2.2.1
- bcrypt==4.1.2
- build==1.0.3
- cachetools==5.3.2
- chroma-hnswlib==0.7.3
- chromadb==0.4.22
- coloredlogs==15.0.1
- dataclasses-json==0.5.14
- deprecated==1.2.14
- distro==1.8.0
- evaluate==0.4.0
- exceptiongroup==1.1.3
- fastapi==0.109.2
- flatbuffers==23.5.26
- google-auth==2.27.0
- googleapis-common-protos==1.62.0
- greenlet==3.0.1
- grpcio==1.60.1
- h11==0.14.0
- httpcore==1.0.1
- httptools==0.6.1
- httpx==0.25.1
- humanfriendly==10.0
- importlib-metadata==6.11.0
- importlib-resources==6.1.1
- jsonpatch==1.33
- jsonpointer==2.4
- kubernetes==29.0.0
- langchain==0.0.150
- langsmith==0.0.60
- llama-index==0.8.64.post1
- marshmallow==3.20.1
- mmh3==4.1.0
- monotonic==1.6
- mypy-extensions==1.0.0
- nest-asyncio==1.5.8
- nltk==3.8.1
- oauthlib==3.2.2
- onnxruntime==1.17.0
- openai==1.2.1
- openapi-schema-pydantic==1.2.4
- opentelemetry-api==1.22.0
- opentelemetry-exporter-otlp-proto-common==1.22.0
- opentelemetry-exporter-otlp-proto-grpc==1.22.0
- opentelemetry-instrumentation==0.43b0
- opentelemetry-instrumentation-asgi==0.43b0
- opentelemetry-instrumentation-fastapi==0.43b0
- opentelemetry-proto==1.22.0
- opentelemetry-sdk==1.22.0
- opentelemetry-semantic-conventions==0.43b0
- opentelemetry-util-http==0.43b0
- overrides==7.7.0
- peft==0.3.0
- posthog==3.4.0
- protobuf==4.25.2
- pulsar-client==3.4.0
- pyasn1==0.5.1
- pyasn1-modules==0.3.0
- pydantic==1.10.13
- pydantic-core==2.10.1
- pypika==0.48.9
- pyproject-hooks==1.0.0
- python-dotenv==1.0.1
- requests-oauthlib==1.3.1
- rouge-score==0.1.2
- rsa==4.9
- sniffio==1.3.0
- sqlalchemy==2.0.23
- starlette==0.36.3
- tenacity==8.2.3
- tiktoken==0.5.1
- tomli==2.0.1
- trl==0.4.2.dev0
- typer==0.9.0
- typing-extensions==4.9.0
- typing-inspect==0.9.0
- uvicorn==0.27.0.post1
- uvloop==0.19.0
- watchfiles==0.21.0
- websocket-client==1.7.0
- websockets==12.0
- wrapt==1.15.0
- zipp==3.17.0
prefix: /home/username/anaconda3/envs/llm_110623
看起来您已经导出了
conda尝试使用
--no-build...
dependencies:
- python=3.10.12
- psutil=5.9.0
...