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ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.

Open sherlockma11 opened this issue 8 months ago • 1 comments

ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.

When I install the package 'pip install -U FlagEmbedding'

Collecting FlagEmbedding Using cached FlagEmbedding-1.3.4.tar.gz (163 kB) Preparing metadata (setup.py) ... done Collecting torch>=1.6.0 (from FlagEmbedding) Using cached torch-2.6.0-cp310-cp310-manylinux1_x86_64.whl.metadata (28 kB) Collecting transformers>=4.44.2 (from FlagEmbedding) Using cached transformers-4.50.2-py3-none-any.whl.metadata (39 kB) Collecting datasets>=2.19.0 (from FlagEmbedding) Using cached datasets-3.4.1-py3-none-any.whl.metadata (19 kB) Collecting accelerate>=0.20.1 (from FlagEmbedding) Using cached accelerate-1.5.2-py3-none-any.whl.metadata (19 kB) Collecting sentence_transformers (from FlagEmbedding) Using cached sentence_transformers-4.0.1-py3-none-any.whl.metadata (13 kB) Collecting peft (from FlagEmbedding) Using cached peft-0.15.0-py3-none-any.whl.metadata (13 kB) Collecting ir-datasets (from FlagEmbedding) Using cached ir_datasets-0.5.10-py3-none-any.whl.metadata (12 kB) Collecting sentencepiece (from FlagEmbedding) Using cached sentencepiece-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB) Collecting protobuf (from FlagEmbedding) Using cached protobuf-6.30.2-cp39-abi3-manylinux2014_x86_64.whl.metadata (593 bytes) Collecting numpy<3.0.0,>=1.17 (from accelerate>=0.20.1->FlagEmbedding) Using cached numpy-2.2.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (62 kB) Collecting packaging>=20.0 (from accelerate>=0.20.1->FlagEmbedding) Using cached packaging-24.2-py3-none-any.whl.metadata (3.2 kB) Collecting psutil (from accelerate>=0.20.1->FlagEmbedding) Using cached psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB) Collecting pyyaml (from accelerate>=0.20.1->FlagEmbedding) Using cached PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB) Collecting huggingface-hub>=0.21.0 (from accelerate>=0.20.1->FlagEmbedding) Using cached huggingface_hub-0.29.3-py3-none-any.whl.metadata (13 kB) Collecting safetensors>=0.4.3 (from accelerate>=0.20.1->FlagEmbedding) Using cached safetensors-0.5.3-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB) Collecting filelock (from datasets>=2.19.0->FlagEmbedding) Using cached filelock-3.18.0-py3-none-any.whl.metadata (2.9 kB) Collecting pyarrow>=15.0.0 (from datasets>=2.19.0->FlagEmbedding) Using cached pyarrow-19.0.1-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (3.3 kB) Collecting dill<0.3.9,>=0.3.0 (from datasets>=2.19.0->FlagEmbedding) Using cached dill-0.3.8-py3-none-any.whl.metadata (10 kB) Collecting pandas (from datasets>=2.19.0->FlagEmbedding) Using cached pandas-2.2.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (89 kB) Collecting requests>=2.32.2 (from datasets>=2.19.0->FlagEmbedding) Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB) Collecting tqdm>=4.66.3 (from datasets>=2.19.0->FlagEmbedding) Using cached tqdm-4.67.1-py3-none-any.whl.metadata (57 kB) Collecting xxhash (from datasets>=2.19.0->FlagEmbedding) Using cached xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB) Collecting multiprocess<0.70.17 (from datasets>=2.19.0->FlagEmbedding) Using cached multiprocess-0.70.16-py310-none-any.whl.metadata (7.2 kB) Collecting fsspec<=2024.12.0,>=2023.1.0 (from fsspec[http]<=2024.12.0,>=2023.1.0->datasets>=2.19.0->FlagEmbedding) Using cached fsspec-2024.12.0-py3-none-any.whl.metadata (11 kB) Collecting aiohttp (from datasets>=2.19.0->FlagEmbedding) Using cached aiohttp-3.11.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB) Collecting typing-extensions>=4.10.0 (from torch>=1.6.0->FlagEmbedding) Using cached typing_extensions-4.13.0-py3-none-any.whl.metadata (3.0 kB) Collecting networkx (from torch>=1.6.0->FlagEmbedding) Using cached networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB) Collecting jinja2 (from torch>=1.6.0->FlagEmbedding) Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB) Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) Collecting nvidia-cublas-cu12==12.4.5.8 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) Collecting nvidia-cufft-cu12==11.2.1.3 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) Collecting nvidia-curand-cu12==10.3.5.147 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) Collecting nvidia-cusparselt-cu12==0.6.2 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl.metadata (6.8 kB) Collecting nvidia-nccl-cu12==2.21.5 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB) Collecting nvidia-nvtx-cu12==12.4.127 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.7 kB) Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch>=1.6.0->FlagEmbedding) Using cached nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) Collecting triton==3.2.0 (from torch>=1.6.0->FlagEmbedding) Using cached triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB) Collecting sympy==1.13.1 (from torch>=1.6.0->FlagEmbedding) Using cached sympy-1.13.1-py3-none-any.whl.metadata (12 kB) Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch>=1.6.0->FlagEmbedding) Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB) Collecting regex!=2019.12.17 (from transformers>=4.44.2->FlagEmbedding) Using cached regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (40 kB) Collecting tokenizers<0.22,>=0.21 (from transformers>=4.44.2->FlagEmbedding) Using cached tokenizers-0.21.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.8 kB) Collecting beautifulsoup4>=4.4.1 (from ir-datasets->FlagEmbedding) Using cached beautifulsoup4-4.13.3-py3-none-any.whl.metadata (3.8 kB) Collecting inscriptis>=2.2.0 (from ir-datasets->FlagEmbedding) Using cached inscriptis-2.6.0-py3-none-any.whl.metadata (25 kB) Collecting lxml>=4.5.2 (from ir-datasets->FlagEmbedding) Using cached lxml-5.3.1-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (3.7 kB) Collecting trec-car-tools>=2.5.4 (from ir-datasets->FlagEmbedding) Using cached trec_car_tools-2.6-py3-none-any.whl.metadata (640 bytes) Collecting lz4>=3.1.10 (from ir-datasets->FlagEmbedding) Using cached lz4-4.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB) Collecting warc3-wet>=0.2.3 (from ir-datasets->FlagEmbedding) Using cached warc3_wet-0.2.5-py3-none-any.whl.metadata (2.2 kB) Collecting warc3-wet-clueweb09>=0.2.5 (from ir-datasets->FlagEmbedding) Using cached warc3-wet-clueweb09-0.2.5.tar.gz (17 kB) Preparing metadata (setup.py) ... done Collecting zlib-state>=0.1.3 (from ir-datasets->FlagEmbedding) Using cached zlib_state-0.1.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.3 kB) Collecting ijson>=3.1.3 (from ir-datasets->FlagEmbedding) Using cached ijson-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (21 kB) Collecting unlzw3>=0.2.1 (from ir-datasets->FlagEmbedding) Using cached unlzw3-0.2.3-py3-none-any.whl.metadata (2.3 kB) Collecting scikit-learn (from sentence_transformers->FlagEmbedding) Using cached scikit_learn-1.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB) Collecting scipy (from sentence_transformers->FlagEmbedding) Using cached scipy-1.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB) Collecting Pillow (from sentence_transformers->FlagEmbedding) Using cached pillow-11.1.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (9.1 kB) Collecting soupsieve>1.2 (from beautifulsoup4>=4.4.1->ir-datasets->FlagEmbedding) Using cached soupsieve-2.6-py3-none-any.whl.metadata (4.6 kB) Collecting aiohappyeyeballs>=2.3.0 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached aiohappyeyeballs-2.6.1-py3-none-any.whl.metadata (5.9 kB) Collecting aiosignal>=1.1.2 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached aiosignal-1.3.2-py2.py3-none-any.whl.metadata (3.8 kB) Collecting async-timeout<6.0,>=4.0 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached async_timeout-5.0.1-py3-none-any.whl.metadata (5.1 kB) Collecting attrs>=17.3.0 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached attrs-25.3.0-py3-none-any.whl.metadata (10 kB) Collecting frozenlist>=1.1.1 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached frozenlist-1.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (13 kB) Collecting multidict<7.0,>=4.5 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached multidict-6.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.9 kB) Collecting propcache>=0.2.0 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached propcache-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB) Collecting yarl<2.0,>=1.17.0 (from aiohttp->datasets>=2.19.0->FlagEmbedding) Using cached yarl-1.18.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (69 kB) Collecting charset-normalizer<4,>=2 (from requests>=2.32.2->datasets>=2.19.0->FlagEmbedding) Using cached charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (35 kB) Collecting idna<4,>=2.5 (from requests>=2.32.2->datasets>=2.19.0->FlagEmbedding) Using cached idna-3.10-py3-none-any.whl.metadata (10 kB) Collecting urllib3<3,>=1.21.1 (from requests>=2.32.2->datasets>=2.19.0->FlagEmbedding) Using cached urllib3-2.3.0-py3-none-any.whl.metadata (6.5 kB) Collecting certifi>=2017.4.17 (from requests>=2.32.2->datasets>=2.19.0->FlagEmbedding) Using cached certifi-2025.1.31-py3-none-any.whl.metadata (2.5 kB) Collecting cbor>=1.0.0 (from trec-car-tools>=2.5.4->ir-datasets->FlagEmbedding) Using cached cbor-1.0.0.tar.gz (20 kB) Preparing metadata (setup.py) ... done Collecting MarkupSafe>=2.0 (from jinja2->torch>=1.6.0->FlagEmbedding) Using cached MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB) Collecting python-dateutil>=2.8.2 (from pandas->datasets>=2.19.0->FlagEmbedding) Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB) Collecting pytz>=2020.1 (from pandas->datasets>=2.19.0->FlagEmbedding) Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB) Collecting tzdata>=2022.7 (from pandas->datasets>=2.19.0->FlagEmbedding) Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB) Collecting joblib>=1.2.0 (from scikit-learn->sentence_transformers->FlagEmbedding) Using cached joblib-1.4.2-py3-none-any.whl.metadata (5.4 kB) Collecting threadpoolctl>=3.1.0 (from scikit-learn->sentence_transformers->FlagEmbedding) Using cached threadpoolctl-3.6.0-py3-none-any.whl.metadata (13 kB) Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas->datasets>=2.19.0->FlagEmbedding) Using cached six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB) Using cached accelerate-1.5.2-py3-none-any.whl (345 kB) Using cached datasets-3.4.1-py3-none-any.whl (487 kB) Downloading torch-2.6.0-cp310-cp310-manylinux1_x86_64.whl (766.7 MB) ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 224.9/766.7 MB 337.4 kB/s eta 0:26:46 Using cached nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl (363.4 MB) Using cached nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (13.8 MB) Using cached nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (24.6 MB) Using cached nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (883 kB) Using cached nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB) Using cached nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl (211.5 MB) Using cached nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl (56.3 MB) Using cached nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB) Using cached nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl (207.5 MB) Using cached nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl (150.1 MB) Using cached nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl (188.7 MB) Using cached nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB) Using cached nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (99 kB) Using cached sympy-1.13.1-py3-none-any.whl (6.2 MB) Using cached triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (253.1 MB) Using cached transformers-4.50.2-py3-none-any.whl (10.2 MB) Using cached ir_datasets-0.5.10-py3-none-any.whl (859 kB) Using cached peft-0.15.0-py3-none-any.whl (410 kB) Using cached protobuf-6.30.2-cp39-abi3-manylinux2014_x86_64.whl (316 kB) Using cached sentence_transformers-4.0.1-py3-none-any.whl (340 kB) Using cached sentencepiece-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB) Using cached beautifulsoup4-4.13.3-py3-none-any.whl (186 kB) Using cached dill-0.3.8-py3-none-any.whl (116 kB) Using cached fsspec-2024.12.0-py3-none-any.whl (183 kB) Using cached aiohttp-3.11.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB) Using cached huggingface_hub-0.29.3-py3-none-any.whl (468 kB) Using cached ijson-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB) Using cached inscriptis-2.6.0-py3-none-any.whl (45 kB) Using cached lxml-5.3.1-cp310-cp310-manylinux_2_28_x86_64.whl (5.2 MB) Using cached lz4-4.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB) Using cached multiprocess-0.70.16-py310-none-any.whl (134 kB) Using cached numpy-2.2.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.4 MB) Using cached packaging-24.2-py3-none-any.whl (65 kB) Using cached pyarrow-19.0.1-cp310-cp310-manylinux_2_28_x86_64.whl (42.1 MB) Using cached PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) Using cached regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (781 kB) Using cached requests-2.32.3-py3-none-any.whl (64 kB) Using cached safetensors-0.5.3-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (471 kB) Using cached tokenizers-0.21.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB) Using cached tqdm-4.67.1-py3-none-any.whl (78 kB) Using cached trec_car_tools-2.6-py3-none-any.whl (8.4 kB) Using cached typing_extensions-4.13.0-py3-none-any.whl (45 kB) Using cached unlzw3-0.2.3-py3-none-any.whl (6.7 kB) Using cached warc3_wet-0.2.5-py3-none-any.whl (18 kB) Using cached zlib_state-0.1.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21 kB) Using cached filelock-3.18.0-py3-none-any.whl (16 kB) Using cached jinja2-3.1.6-py3-none-any.whl (134 kB) Using cached networkx-3.4.2-py3-none-any.whl (1.7 MB) Using cached pandas-2.2.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB) Using cached pillow-11.1.0-cp310-cp310-manylinux_2_28_x86_64.whl (4.5 MB) Using cached psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) Using cached scikit_learn-1.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.5 MB) Using cached scipy-1.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (37.6 MB) Using cached xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB) Using cached aiohappyeyeballs-2.6.1-py3-none-any.whl (15 kB) Using cached aiosignal-1.3.2-py2.py3-none-any.whl (7.6 kB) Using cached async_timeout-5.0.1-py3-none-any.whl (6.2 kB) Using cached attrs-25.3.0-py3-none-any.whl (63 kB) Using cached certifi-2025.1.31-py3-none-any.whl (166 kB) Using cached charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (146 kB) Using cached frozenlist-1.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (241 kB) Using cached idna-3.10-py3-none-any.whl (70 kB) Using cached joblib-1.4.2-py3-none-any.whl (301 kB) Using cached MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) Using cached mpmath-1.3.0-py3-none-any.whl (536 kB) Using cached multidict-6.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB) Using cached propcache-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (206 kB) Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB) Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB) Using cached soupsieve-2.6-py3-none-any.whl (36 kB) Using cached threadpoolctl-3.6.0-py3-none-any.whl (18 kB) Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB) Using cached urllib3-2.3.0-py3-none-any.whl (128 kB) Using cached yarl-1.18.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (319 kB) Using cached six-1.17.0-py2.py3-none-any.whl (11 kB) ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them. unknown package: Expected sha256 6860df13d9911ac158f4c44031609700e1eba07916fff62e21e6ffa0a9e01961 Got ef48326313f876d1743181aef3633ab0aaf75838e417218f1c2c03cad4a0d090

sherlockma11 avatar Mar 27 '25 13:03 sherlockma11

You can try to clone the repository and install:

git clone https://github.com/FlagOpen/FlagEmbedding.git
cd FlagEmbedding
# If you do not need to finetune the models, you can install the package without the finetune dependency:
pip install  .
# If you want to finetune the models, install the package with the finetune dependency:
# pip install  .[finetune]

545999961 avatar Apr 10 '25 06:04 545999961