LQDeployConfig/prod/models/minerU/source/logs/build4.log

nohup: 忽略输入
#0 building with "default" instance using docker driver

#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 2.41kB done
#1 DONE 0.0s

#2 [internal] load metadata for docker.m.daocloud.io/vllm/vllm-openai:v0.10.1.1
#2 DONE 1.2s

#3 [internal] load .dockerignore
#3 transferring context: 2B done
#3 DONE 0.0s

#4 [1/7] FROM docker.m.daocloud.io/vllm/vllm-openai:v0.10.1.1@sha256:d731ee65c044ae0977421eed3d93f931d4b7d79614394184c939db35b8f28fc2
#4 DONE 0.0s

#5 [2/7] RUN sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources 2>/dev/null ||      sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list &&          sed -i 's/security.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list 2>/dev/null || true
#5 CACHED

#6 [3/7] RUN apt-get update &&     apt-get install -y         libgl1-mesa-glx     	libglib2.0-0     	libsm6     	libxext6     	libxrender-dev     	libgomp1     	libqt5core5a     	libqt5gui5     	libqt5widgets5         fonts-noto-core         fonts-noto-cjk         fontconfig         libgl1 &&     fc-cache -fv &&     apt-get clean &&     rm -rf /var/lib/apt/lists/*
#6 CACHED

#7 [4/7] RUN python3 -m pip install --no-cache-dir      opencv-python-headless      -i https://mirrors.aliyun.com/pypi/simple      --break-system-packages
#7 0.885 Looking in indexes: https://mirrors.aliyun.com/pypi/simple
#7 0.886 Requirement already satisfied: opencv-python-headless in /usr/local/lib/python3.12/dist-packages (4.12.0.88)
#7 0.890 Requirement already satisfied: numpy<2.3.0,>=2 in /usr/local/lib/python3.12/dist-packages (from opencv-python-headless) (2.2.6)
#7 1.279 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
#7 1.411 
#7 1.411 [notice] A new release of pip is available: 25.2 -> 26.0.1
#7 1.411 [notice] To update, run: python3 -m pip install --upgrade pip
#7 DONE 1.6s

#8 [5/7] RUN python3 -m pip install --no-cache-dir     'mineru[core]>=2.7.0'     -i https://mirrors.aliyun.com/pypi/simple     --break-system-packages     --no-deps || true
#8 0.851 Looking in indexes: https://mirrors.aliyun.com/pypi/simple
#8 0.954 Collecting mineru>=2.7.0 (from mineru[core]>=2.7.0)
#8 0.994   Downloading https://mirrors.aliyun.com/pypi/packages/44/99/a4cf2751c4055d25d16e915215c031ae362bf4bf198efed4991161c6159e/mineru-2.7.6-py3-none-any.whl (1.3 MB)
#8 1.100      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 25.2 MB/s  0:00:00
#8 1.121 Installing collected packages: mineru
#8 1.583 Successfully installed mineru-2.7.6
#8 1.584 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
#8 1.725 
#8 1.725 [notice] A new release of pip is available: 25.2 -> 26.0.1
#8 1.725 [notice] To update, run: python3 -m pip install --upgrade pip
#8 DONE 1.9s

#9 [6/7] RUN python3 -m pip install -U 'mineru[core]>=2.7.0' -i https://mirrors.aliyun.com/pypi/simple --break-system-packages &&     python3 -m pip cache purge
#9 1.001 Looking in indexes: https://mirrors.aliyun.com/pypi/simple
#9 1.003 Requirement already satisfied: mineru>=2.7.0 in /usr/local/lib/python3.12/dist-packages (from mineru[core]>=2.7.0) (2.7.6)
#9 1.373 Requirement already satisfied: boto3>=1.28.43 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (1.40.14)
#9 1.374 Requirement already satisfied: click>=8.1.7 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (8.2.1)
#9 1.536 Collecting loguru>=0.7.2 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 2.048   Downloading https://mirrors.aliyun.com/pypi/packages/0c/29/0348de65b8cc732daa3e33e67806420b2ae89bdce2b04af740289c5c6c8c/loguru-0.7.3-py3-none-any.whl (61 kB)
#9 2.082 Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (2.2.6)
#9 2.255 Collecting pdfminer.six>=20251230 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 2.342   Downloading https://mirrors.aliyun.com/pypi/packages/20/8b/28c4eaec9d6b036a52cb44720408f26b1a143ca9bce76cc19e8f5de00ab4/pdfminer_six-20260107-py3-none-any.whl (6.6 MB)
#9 2.707      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.6/6.6 MB 18.8 MB/s  0:00:00
#9 2.735 Requirement already satisfied: tqdm>=4.67.1 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (4.67.1)
#9 2.736 Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (2.32.5)
#9 2.737 Requirement already satisfied: httpx in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (0.28.1)
#9 2.738 Requirement already satisfied: pillow>=11.0.0 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (11.3.0)
#9 3.115 Collecting pypdfium2>=4.30.0 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 3.226   Downloading https://mirrors.aliyun.com/pypi/packages/ff/49/a640b288a48dab1752281dd9b72c0679fccea107874e80a65a606b00efa9/pypdfium2-5.6.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
#9 3.514      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 13.8 MB/s  0:00:00
#9 3.607 Collecting pypdf>=5.6.0 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 3.721   Downloading https://mirrors.aliyun.com/pypi/packages/f9/f4/75543fa802b86e72f87e9395440fe1a89a6d149887e3e55745715c3352ac/pypdf-6.9.1-py3-none-any.whl (333 kB)
#9 4.511 Collecting reportlab (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 4.634   Downloading https://mirrors.aliyun.com/pypi/packages/8a/2e/e1798b8b248e1517e74c6cdf10dd6edd485044e7edf46b5f11ffcc5a0add/reportlab-4.4.10-py3-none-any.whl (2.0 MB)
#9 4.744      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 16.2 MB/s  0:00:00
#9 4.841 Collecting pdftext>=0.6.3 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 4.984   Downloading https://mirrors.aliyun.com/pypi/packages/bc/b9/4437bb89f04e57f48c96492a50d6168da5e201940de6620730d390449991/pdftext-0.6.3-py3-none-any.whl (23 kB)
#9 4.989 Requirement already satisfied: modelscope>=1.26.0 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (1.29.0)
#9 4.990 Requirement already satisfied: huggingface-hub>=0.32.4 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (0.34.4)
#9 5.146 Collecting json-repair>=0.46.2 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 5.242   Downloading https://mirrors.aliyun.com/pypi/packages/da/bb/c019ac05a6923c5776fa134c65e5b19d216ef17227618d93b1f608bc2806/json_repair-0.58.6-py3-none-any.whl (43 kB)
#9 5.487 Collecting opencv-python>=4.11.0.86 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 5.655   Downloading https://mirrors.aliyun.com/pypi/packages/fd/55/b3b49a1b97aabcfbbd6c7326df9cb0b6fa0c0aefa8e89d500939e04aa229/opencv_python-4.13.0.92-cp37-abi3-manylinux_2_28_x86_64.whl (72.9 MB)
#9 9.478      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 72.9/72.9 MB 19.1 MB/s  0:00:03
#9 9.719 Collecting fast-langdetect<0.3.0,>=0.2.3 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 9.858   Downloading https://mirrors.aliyun.com/pypi/packages/27/da/c621e64d4bc23f485468295bb7d4a5f2290ebb4d342c8dc448ab66808071/fast_langdetect-0.2.5-py3-none-any.whl (786 kB)
#9 9.891      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 786.6/786.6 kB 19.4 MB/s  0:00:00
#9 10.08 Collecting scikit-image<1.0.0,>=0.25.0 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 10.22   Downloading https://mirrors.aliyun.com/pypi/packages/f4/a2/70401a107d6d7466d64b466927e6b96fcefa99d57494b972608e2f8be50f/scikit_image-0.26.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (13.6 MB)
#9 10.98      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.6/13.6 MB 18.3 MB/s  0:00:00
#9 11.05 Requirement already satisfied: openai<3,>=1.70.0 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (1.100.2)
#9 11.21 Collecting beautifulsoup4<5,>=4.13.5 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 11.29   Downloading https://mirrors.aliyun.com/pypi/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl (107 kB)
#9 11.48 Collecting magika<1.1.0,>=0.6.2 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 11.56   Downloading https://mirrors.aliyun.com/pypi/packages/ba/9e/429608833917b7d4c4f7071a270bbca96821fb592e275d85bc9eae5a94c8/magika-1.0.2-py3-none-manylinux_2_28_x86_64.whl (15.9 MB)
#9 52.72      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.9/15.9 MB 412.8 kB/s  0:00:41
#9 52.88 Collecting mineru-vl-utils<1,>=0.1.19.1 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 53.05   Downloading https://mirrors.aliyun.com/pypi/packages/21/22/40fe2009c3effaaf054964e17e4ef80bb0c2becd290e9da06ea593aedc5d/mineru_vl_utils-0.1.22-py3-none-any.whl (59 kB)
#9 53.22 Collecting qwen-vl-utils<1,>=0.0.14 (from mineru>=2.7.0->mineru[core]>=2.7.0)
#9 53.34   Downloading https://mirrors.aliyun.com/pypi/packages/c4/43/80f67e0336cb2fc725f8e06f7fe35c1d0fe946f4d2b8b2175e797e07349e/qwen_vl_utils-0.0.14-py3-none-any.whl (8.1 kB)
#9 53.50 Collecting soupsieve>=1.6.1 (from beautifulsoup4<5,>=4.13.5->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 53.63   Downloading https://mirrors.aliyun.com/pypi/packages/46/2c/1462b1d0a634697ae9e55b3cecdcb64788e8b7d63f54d923fcd0bb140aed/soupsieve-2.8.3-py3-none-any.whl (37 kB)
#9 53.63 Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4<5,>=4.13.5->mineru>=2.7.0->mineru[core]>=2.7.0) (4.14.1)
#9 53.72 Collecting robust-downloader>=0.0.2 (from fast-langdetect<0.3.0,>=0.2.3->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 53.89   Downloading https://mirrors.aliyun.com/pypi/packages/56/a1/779e9d0ebbdc704411ce30915a1105eb01aeaa9e402d7e446613ff8fb121/robust_downloader-0.0.2-py3-none-any.whl (15 kB)
#9 54.03 Collecting fasttext-predict>=0.9.2.4 (from fast-langdetect<0.3.0,>=0.2.3->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 54.11   Downloading https://mirrors.aliyun.com/pypi/packages/06/8d/334cd9acb84e569d37617444661ca7b59d1bc1a83abe42aa845d23fb1273/fasttext_predict-0.9.2.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296 kB)
#9 54.26 Collecting onnxruntime>=1.17.0 (from magika<1.1.0,>=0.6.2->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 54.34   Downloading https://mirrors.aliyun.com/pypi/packages/6d/ab/5b68110e0460d73fad814d5bd11c7b1ddcce5c37b10177eb264d6a36e331/onnxruntime-1.24.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (17.2 MB)
#9 68.36      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.2/17.2 MB 1.2 MB/s  0:00:14
#9 68.49 Collecting httpx-retries (from mineru-vl-utils<1,>=0.1.19.1->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 68.62   Downloading https://mirrors.aliyun.com/pypi/packages/f2/97/63f56da4400034adde22adfe7524635dba068f17d6858f92ecd96f55b53e/httpx_retries-0.4.6-py3-none-any.whl (8.5 kB)
#9 68.62 Requirement already satisfied: aiofiles in /usr/local/lib/python3.12/dist-packages (from mineru-vl-utils<1,>=0.1.19.1->mineru>=2.7.0->mineru[core]>=2.7.0) (24.1.0)
#9 68.62 Requirement already satisfied: pydantic in /usr/local/lib/python3.12/dist-packages (from mineru-vl-utils<1,>=0.1.19.1->mineru>=2.7.0->mineru[core]>=2.7.0) (2.11.7)
#9 68.63 Requirement already satisfied: anyio<5,>=3.5.0 in /usr/local/lib/python3.12/dist-packages (from openai<3,>=1.70.0->mineru>=2.7.0->mineru[core]>=2.7.0) (4.10.0)
#9 68.63 Requirement already satisfied: distro<2,>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from openai<3,>=1.70.0->mineru>=2.7.0->mineru[core]>=2.7.0) (1.9.0)
#9 68.63 Requirement already satisfied: jiter<1,>=0.4.0 in /usr/local/lib/python3.12/dist-packages (from openai<3,>=1.70.0->mineru>=2.7.0->mineru[core]>=2.7.0) (0.10.0)
#9 68.63 Requirement already satisfied: sniffio in /usr/local/lib/python3.12/dist-packages (from openai<3,>=1.70.0->mineru>=2.7.0->mineru[core]>=2.7.0) (1.3.1)
#9 68.64 Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.12/dist-packages (from anyio<5,>=3.5.0->openai<3,>=1.70.0->mineru>=2.7.0->mineru[core]>=2.7.0) (3.10)
#9 68.64 Requirement already satisfied: certifi in /usr/local/lib/python3.12/dist-packages (from httpx->mineru>=2.7.0->mineru[core]>=2.7.0) (2025.8.3)
#9 68.64 Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.12/dist-packages (from httpx->mineru>=2.7.0->mineru[core]>=2.7.0) (1.0.9)
#9 68.65 Requirement already satisfied: h11>=0.16 in /usr/local/lib/python3.12/dist-packages (from httpcore==1.*->httpx->mineru>=2.7.0->mineru[core]>=2.7.0) (0.16.0)
#9 68.65 Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.12/dist-packages (from pydantic->mineru-vl-utils<1,>=0.1.19.1->mineru>=2.7.0->mineru[core]>=2.7.0) (0.7.0)
#9 68.65 Requirement already satisfied: pydantic-core==2.33.2 in /usr/local/lib/python3.12/dist-packages (from pydantic->mineru-vl-utils<1,>=0.1.19.1->mineru>=2.7.0->mineru[core]>=2.7.0) (2.33.2)
#9 68.65 Requirement already satisfied: typing-inspection>=0.4.0 in /usr/local/lib/python3.12/dist-packages (from pydantic->mineru-vl-utils<1,>=0.1.19.1->mineru>=2.7.0->mineru[core]>=2.7.0) (0.4.1)
#9 68.83 Collecting av (from qwen-vl-utils<1,>=0.0.14->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 68.90   Downloading https://mirrors.aliyun.com/pypi/packages/d2/59/d19bc3257dd985d55337d7f0414c019414b97e16cd3690ebf9941a847543/av-17.0.0-cp311-abi3-manylinux_2_28_x86_64.whl (36.4 MB)
#9 70.87      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 36.4/36.4 MB 19.0 MB/s  0:00:01
#9 70.93 Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from qwen-vl-utils<1,>=0.0.14->mineru>=2.7.0->mineru[core]>=2.7.0) (25.0)
#9 70.93 Requirement already satisfied: scipy>=1.11.4 in /usr/local/lib/python3.12/dist-packages (from scikit-image<1.0.0,>=0.25.0->mineru>=2.7.0->mineru[core]>=2.7.0) (1.16.1)
#9 70.93 Requirement already satisfied: networkx>=3.0 in /usr/local/lib/python3.12/dist-packages (from scikit-image<1.0.0,>=0.25.0->mineru>=2.7.0->mineru[core]>=2.7.0) (3.5)
#9 71.06 Collecting imageio!=2.35.0,>=2.33 (from scikit-image<1.0.0,>=0.25.0->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 71.13   Downloading https://mirrors.aliyun.com/pypi/packages/49/fa/391e437a34e55095173dca5f24070d89cbc233ff85bf1c29c93248c6588d/imageio-2.37.3-py3-none-any.whl (317 kB)
#9 71.29 Collecting tifffile>=2022.8.12 (from scikit-image<1.0.0,>=0.25.0->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 71.39   Downloading https://mirrors.aliyun.com/pypi/packages/1a/e4/e804505f87627cd8cdae9c010c47c4485fd8c1ce31a7dd0ab7fcc4707377/tifffile-2026.3.3-py3-none-any.whl (243 kB)
#9 72.04 Collecting lazy-loader>=0.4 (from scikit-image<1.0.0,>=0.25.0->mineru>=2.7.0->mineru[core]>=2.7.0)
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#9 91.91 Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.12/dist-packages (from doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0) (9.0.0)
#9 92.01 Collecting thop>=0.1.1 (from doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 92.07   Downloading https://mirrors.aliyun.com/pypi/packages/bb/0f/72beeab4ff5221dc47127c80f8834b4bcd0cb36f6ba91c0b1d04a1233403/thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)
#9 92.26 Collecting seaborn>=0.11.0 (from doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0)
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#9 92.45 Collecting albumentations>=1.4.11 (from doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 92.53   Downloading https://mirrors.aliyun.com/pypi/packages/8e/64/013409c451a44b61310fb757af4527f3de57fc98a00f40448de28b864290/albumentations-2.0.8-py3-none-any.whl (369 kB)
#9 92.63 Collecting wcwidth (from ftfy<7,>=6.3.1->mineru>=2.7.0->mineru[core]>=2.7.0)
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#9 92.83 Collecting contourpy>=1.0.1 (from matplotlib<4,>=3.10->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 92.91   Downloading https://mirrors.aliyun.com/pypi/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (362 kB)
#9 92.99 Collecting cycler>=0.10 (from matplotlib<4,>=3.10->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 93.02   Downloading https://mirrors.aliyun.com/pypi/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl (8.3 kB)
#9 93.34 Collecting fonttools>=4.22.0 (from matplotlib<4,>=3.10->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 93.41   Downloading https://mirrors.aliyun.com/pypi/packages/9b/8a/99c8b3c3888c5c474c08dbfd7c8899786de9604b727fcefb055b42c84bba/fonttools-4.62.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (5.0 MB)
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#9 93.83 Collecting kiwisolver>=1.3.1 (from matplotlib<4,>=3.10->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 93.89   Downloading https://mirrors.aliyun.com/pypi/packages/c4/13/680c54afe3e65767bed7ec1a15571e1a2f1257128733851ade24abcefbcc/kiwisolver-1.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.5 MB)
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#9 94.07 Collecting pyparsing>=3 (from matplotlib<4,>=3.10->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 94.09   Downloading https://mirrors.aliyun.com/pypi/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl (122 kB)
#9 94.17 Collecting antlr4-python3-runtime==4.9.* (from omegaconf<3,>=2.3.0->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 94.29   Downloading https://mirrors.aliyun.com/pypi/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz (117 kB)
#9 94.33   Preparing metadata (setup.py): started
#9 94.84   Preparing metadata (setup.py): finished with status 'done'
#9 94.86 Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.8.61 in /usr/local/lib/python3.12/dist-packages (from torch<3,>=2.6.0->mineru>=2.7.0->mineru[core]>=2.7.0) (12.8.61)
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#9 94.86 Requirement already satisfied: nvidia-cusparse-cu12==12.5.7.53 in /usr/local/lib/python3.12/dist-packages (from torch<3,>=2.6.0->mineru>=2.7.0->mineru[core]>=2.7.0) (12.5.7.53)
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#9 94.87 Requirement already satisfied: nvidia-cufile-cu12==1.13.0.11 in /usr/local/lib/python3.12/dist-packages (from torch<3,>=2.6.0->mineru>=2.7.0->mineru[core]>=2.7.0) (1.13.0.11)
#9 94.87 Requirement already satisfied: triton==3.3.1 in /usr/local/lib/python3.12/dist-packages (from torch<3,>=2.6.0->mineru>=2.7.0->mineru[core]>=2.7.0) (3.3.1)
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#9 95.66 Collecting polars>=0.20.0 (from ultralytics<9,>=8.3.48->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 95.74   Downloading https://mirrors.aliyun.com/pypi/packages/b4/db/08f4ca10c5018813e7e0b59e4472302328b3d2ab1512f5a2157a814540e0/polars-1.39.3-py3-none-any.whl (823 kB)
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#9 95.86 Collecting ultralytics-thop>=2.0.18 (from ultralytics<9,>=8.3.48->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 95.93   Downloading https://mirrors.aliyun.com/pypi/packages/7f/c7/fb42228bb05473d248c110218ffb8b1ad2f76728ed8699856e5af21112ad/ultralytics_thop-2.0.18-py3-none-any.whl (28 kB)
#9 96.02 Collecting albucore==0.0.24 (from albumentations>=1.4.11->doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 96.16   Downloading https://mirrors.aliyun.com/pypi/packages/0a/e2/91f145e1f32428e9e1f21f46a7022ffe63d11f549ee55c3b9265ff5207fc/albucore-0.0.24-py3-none-any.whl (15 kB)
#9 96.17 Requirement already satisfied: opencv-python-headless>=4.9.0.80 in /usr/local/lib/python3.12/dist-packages (from albumentations>=1.4.11->doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0) (4.12.0.88)
#9 96.98 Collecting stringzilla>=3.10.4 (from albucore==0.0.24->albumentations>=1.4.11->doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 97.07   Downloading https://mirrors.aliyun.com/pypi/packages/f2/c8/fd7101beb8268d231afe3beb20038b17543ab7ea2a59f56eded1782e420f/stringzilla-4.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (2.1 MB)
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#9 99.67 Collecting simsimd>=5.9.2 (from albucore==0.0.24->albumentations>=1.4.11->doclayout_yolo==0.0.4->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 99.74   Downloading https://mirrors.aliyun.com/pypi/packages/3c/28/7ae846998728326759eab771afd83ad721b6c10e9cef7da2b5ca9bdd4a7b/simsimd-6.5.16-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (583 kB)
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#9 100.0 Collecting polars-runtime-32==1.39.3 (from polars>=0.20.0->ultralytics<9,>=8.3.48->mineru>=2.7.0->mineru[core]>=2.7.0)
#9 100.1   Downloading https://mirrors.aliyun.com/pypi/packages/b0/15/fc3e43f3fdf3f20b7dfb5abe871ab6162cf8fb4aeabf4cfad822d5dc4c79/polars_runtime_32-1.39.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (46.9 MB)
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#9 102.8 Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->onnxruntime>=1.17.0->magika<1.1.0,>=0.6.2->mineru>=2.7.0->mineru[core]>=2.7.0) (1.3.0)
#9 102.8 Requirement already satisfied: accelerate>=1.5.1 in /usr/local/lib/python3.12/dist-packages (from mineru>=2.7.0->mineru[core]>=2.7.0) (1.10.0)
#9 102.8 Building wheels for collected packages: antlr4-python3-runtime
#9 102.8   DEPRECATION: Building 'antlr4-python3-runtime' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'antlr4-python3-runtime'. Discussion can be found at https://github.com/pypa/pip/issues/6334
#9 102.8   Building wheel for antlr4-python3-runtime (setup.py): started
#9 103.5   Building wheel for antlr4-python3-runtime (setup.py): finished with status 'done'
#9 103.5   Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144590 sha256=97a0b153c04c8e1d43e5cdd5001af266f78a89d1eb3ad51aa2125c5b40603ccd
#9 103.5   Stored in directory: /root/.cache/pip/wheels/75/1e/ae/9ae8539ae6a316f5601902f873186ba273454c90271c671895
#9 103.5 Successfully built antlr4-python3-runtime
#9 104.0 Installing collected packages: simsimd, pytz, pydub, flatbuffers, fasttext-predict, brotli, antlr4-python3-runtime, wcwidth, tzdata, tomlkit, tifffile, stringzilla, soupsieve, shapely, semantic-version, ruff, reportlab, pypdfium2, pypdf, pyparsing, pyclipper, polars-runtime-32, orjson, opencv-python, omegaconf, loguru, lazy-loader, kiwisolver, json-repair, imageio, groovy, fonttools, ffmpy, cycler, contourpy, colorlog, cffi, av, scikit-image, robust-downloader, qwen-vl-utils, polars, pandas, onnxruntime, matplotlib, ftfy, cryptography, beautifulsoup4, albucore, seaborn, safehttpx, pydantic-settings, pdfminer.six, magika, httpx-retries, gradio-client, fast-langdetect, albumentations, ultralytics-thop, thop, pdftext, mineru-vl-utils, gradio, ultralytics, gradio-pdf, doclayout_yolo
#9 107.0   Attempting uninstall: pyparsing
#9 107.0     Found existing installation: pyparsing 2.4.7
#9 107.0     Uninstalling pyparsing-2.4.7:
#9 107.0       Successfully uninstalled pyparsing-2.4.7
#9 110.3   Attempting uninstall: cffi
#9 110.3     Found existing installation: cffi 1.17.1
#9 110.3     Uninstalling cffi-1.17.1:
#9 110.6       Successfully uninstalled cffi-1.17.1
#9 120.3   Attempting uninstall: cryptography
#9 120.3     Found existing installation: cryptography 3.4.8
#9 120.4     Uninstalling cryptography-3.4.8:
#9 120.4       Successfully uninstalled cryptography-3.4.8
#9 125.6 
#9 125.7 Successfully installed albucore-0.0.24 albumentations-2.0.8 antlr4-python3-runtime-4.9.3 av-17.0.0 beautifulsoup4-4.14.3 brotli-1.2.0 cffi-2.0.0 colorlog-6.10.1 contourpy-1.3.3 cryptography-46.0.5 cycler-0.12.1 doclayout_yolo-0.0.4 fast-langdetect-0.2.5 fasttext-predict-0.9.2.4 ffmpy-1.0.0 flatbuffers-25.12.19 fonttools-4.62.1 ftfy-6.3.1 gradio-5.49.1 gradio-client-1.13.3 gradio-pdf-0.0.22 groovy-0.1.2 httpx-retries-0.4.6 imageio-2.37.3 json-repair-0.58.6 kiwisolver-1.5.0 lazy-loader-0.5 loguru-0.7.3 magika-1.0.2 matplotlib-3.10.8 mineru-vl-utils-0.1.22 omegaconf-2.3.0 onnxruntime-1.24.4 opencv-python-4.13.0.92 orjson-3.11.7 pandas-2.3.3 pdfminer.six-20260107 pdftext-0.6.3 polars-1.39.3 polars-runtime-32-1.39.3 pyclipper-1.4.0 pydantic-settings-2.13.1 pydub-0.25.1 pyparsing-3.3.2 pypdf-6.9.1 pypdfium2-4.30.0 pytz-2026.1.post1 qwen-vl-utils-0.0.14 reportlab-4.4.10 robust-downloader-0.0.2 ruff-0.15.7 safehttpx-0.1.7 scikit-image-0.26.0 seaborn-0.13.2 semantic-version-2.10.0 shapely-2.1.2 simsimd-6.5.16 soupsieve-2.8.3 stringzilla-4.6.0 thop-0.1.1.post2209072238 tifffile-2026.3.3 tomlkit-0.13.3 tzdata-2025.3 ultralytics-8.4.24 ultralytics-thop-2.0.18 wcwidth-0.6.0
#9 125.7 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
#9 125.9 
#9 125.9 [notice] A new release of pip is available: 25.2 -> 26.0.1
#9 125.9 [notice] To update, run: python3 -m pip install --upgrade pip
#9 126.8 Files removed: 283 (370.2 MB)
#9 DONE 129.2s

#10 [7/7] RUN /bin/bash -c "mineru-models-download -s modelscope -m all"
#10 2.084 /usr/local/lib/python3.12/dist-packages/modelscope/hub/constants.py:60: SyntaxWarning: invalid escape sequence '\ '
#10 2.084   ,--.   ,--.).-'),-----. \     .'_ (,------.,--.     (_)---\_)   .-----.  .-'),-----.  _.`     \(,------.
#10 2.150 2026-03-21 20:53:55.495 | INFO     | mineru.cli.models_download:download_models:135 - Downloading all model from modelscope...
#10 2.150 2026-03-21 20:53:55.496 | INFO     | mineru.cli.models_download:download_pipeline_models:77 - Downloading model: models/Layout/YOLO/doclayout_yolo_docstructbench_imgsz1280_2501.pt
#10 3.363 2026-03-21 20:53:56,708 - modelscope - INFO - Got 1 files, start to download ...
#10 3.368 Downloading Model from https://www.modelscope.cn to directory: /root/.cache/modelscope/hub/models/OpenDataLab/PDF-Extract-Kit-1.0
#10 3.368 
Processing 1 items:   0%|          | 0.00/1.00 [00:00<?, ?it/s]
#10 3.369 
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#10 4.184 
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#10 4.298 
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#10 4.414 
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#10 8.194 2026-03-21 20:54:01,540 - modelscope - INFO - Download model 'OpenDataLab/PDF-Extract-Kit-1.0' successfully.
#10 8.195 2026-03-21 20:54:01,540 - modelscope - INFO - Creating symbolic link [/root/.cache/modelscope/hub/models/OpenDataLab/PDF-Extract-Kit-1.0].
#10 8.195 2026-03-21 20:54:01.540 | INFO     | mineru.cli.models_download:download_pipeline_models:77 - Downloading model: models/MFD/YOLO/yolo_v8_ft.pt
#10 9.375 2026-03-21 20:54:02,720 - modelscope - INFO - Got 1 files, start to download ...
#10 9.375 Downloading Model from https://www.modelscope.cn to directory: /root/.cache/modelscope/hub/models/OpenDataLab/PDF-Extract-Kit-1.0
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#10 218.0 2026-03-21 20:57:31,304 - modelscope - INFO - Download model 'OpenDataLab/PDF-Extract-Kit-1.0' successfully.
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#10 227.3 2026-03-21 20:57:40,638 - modelscope - INFO - Download model 'OpenDataLab/PDF-Extract-Kit-1.0' successfully.
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#10 231.2 
#10 231.2 
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#10 232.3 
#10 232.3 
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#10 232.3 
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#10 232.4 
#10 232.4 
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#10 232.4 
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#10 232.5 
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#10 232.6 
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#10 232.7 
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#10 232.8 
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#10 232.9 
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#10 233.1 
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#10 233.3 
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#10 233.4 
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#10 233.5 
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#10 233.6 
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#10 233.7 
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#10 233.8 
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#10 234.0 
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#10 234.1 
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#10 234.2 
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#10 234.3 
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#10 234.4 
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#10 234.6 
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#10 234.7 
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#10 234.8 
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#10 234.9 
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#10 235.0 
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#10 235.1 
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#10 235.2 
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#10 235.4 
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#10 235.5 
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#10 235.6 
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#10 235.7 
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#10 235.8 
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#10 235.9 
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#10 236.0 
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#10 236.1 
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#10 236.3 
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#10 236.4 
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#10 236.5 
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#10 236.6 
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#10 236.7 
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#10 236.8 
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#10 237.0 
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#10 237.1 
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#10 237.2 
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#10 237.3 
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#10 237.4 
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#10 237.5 
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#10 237.7 
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#10 237.8 
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#10 237.9 
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#10 238.0 
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#10 238.1 
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#10 238.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:   9%|▉         | 53.0M/589M [00:06<01:01, 9.16MB/s]
#10 238.4 
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#10 238.5 
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#10 238.6 
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#10 238.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  10%|▉         | 57.0M/589M [00:07<01:02, 8.87MB/s]
#10 238.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  10%|▉         | 58.0M/589M [00:07<01:00, 9.18MB/s]
#10 238.9 
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#10 239.1 
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#10 239.2 
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#10 239.3 
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#10 239.4 
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#10 239.6 
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#10 239.7 
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#10 239.9 
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#10 240.0 
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#10 240.1 
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#10 240.3 
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#10 240.5 
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#10 240.7 
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#10 240.9 
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#10 241.1 
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#10 241.3 
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#10 241.5 
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#10 241.7 
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#10 241.9 
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#10 242.1 
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#10 242.3 
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#10 242.5 
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#10 242.7 
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#10 242.9 
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#10 243.1 
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#10 243.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  17%|█▋        | 103M/589M [00:12<00:47, 10.7MB/s]
#10 243.5 
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#10 243.7 
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#10 243.8 
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#10 243.9 
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#10 244.1 
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#10 244.2 
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#10 244.4 
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#10 244.5 
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#10 244.7 
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#10 245.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  20%|██        | 119M/589M [00:13<00:47, 10.3MB/s]
#10 245.1 
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#10 245.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  21%|██        | 123M/589M [00:14<00:44, 11.1MB/s]
#10 245.5 
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#10 245.7 
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#10 245.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  22%|██▏       | 129M/589M [00:14<00:45, 10.7MB/s]
#10 246.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  22%|██▏       | 131M/589M [00:14<00:45, 10.5MB/s]
#10 246.3 
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#10 246.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  23%|██▎       | 135M/589M [00:15<00:42, 11.1MB/s]
#10 246.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  23%|██▎       | 137M/589M [00:15<00:43, 10.8MB/s]
#10 246.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  24%|██▎       | 139M/589M [00:15<00:44, 10.5MB/s]
#10 247.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  24%|██▍       | 141M/589M [00:15<00:42, 10.9MB/s]
#10 247.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  24%|██▍       | 143M/589M [00:16<00:43, 10.8MB/s]
#10 247.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  25%|██▍       | 145M/589M [00:16<00:41, 11.1MB/s]
#10 247.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  25%|██▍       | 147M/589M [00:16<00:43, 10.7MB/s]
#10 247.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  25%|██▌       | 149M/589M [00:16<00:43, 10.6MB/s]
#10 248.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  26%|██▌       | 151M/589M [00:16<00:43, 10.5MB/s]
#10 248.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  26%|██▌       | 153M/589M [00:17<00:45, 9.97MB/s]
#10 248.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  26%|██▌       | 154M/589M [00:17<00:46, 9.71MB/s]
#10 248.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  26%|██▋       | 156M/589M [00:17<00:46, 9.83MB/s]
#10 248.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  27%|██▋       | 158M/589M [00:17<00:43, 10.4MB/s]
#10 248.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  27%|██▋       | 159M/589M [00:17<00:44, 10.1MB/s]
#10 249.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  27%|██▋       | 161M/589M [00:17<00:42, 10.5MB/s]
#10 249.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  28%|██▊       | 163M/589M [00:18<00:40, 11.0MB/s]
#10 249.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  28%|██▊       | 165M/589M [00:18<00:41, 10.7MB/s]
#10 249.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  28%|██▊       | 167M/589M [00:18<00:39, 11.1MB/s]
#10 249.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  29%|██▊       | 169M/589M [00:18<00:40, 10.8MB/s]
#10 250.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  29%|██▉       | 171M/589M [00:18<00:39, 11.1MB/s]
#10 250.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  29%|██▉       | 173M/589M [00:19<00:40, 10.8MB/s]
#10 250.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  30%|██▉       | 175M/589M [00:19<00:40, 10.6MB/s]
#10 250.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  30%|███       | 177M/589M [00:19<00:41, 10.5MB/s]
#10 250.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  30%|███       | 179M/589M [00:19<00:39, 10.8MB/s]
#10 251.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  31%|███       | 181M/589M [00:19<00:40, 10.6MB/s]
#10 251.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  31%|███       | 183M/589M [00:20<00:40, 10.4MB/s]
#10 251.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  31%|███▏      | 185M/589M [00:20<00:39, 10.8MB/s]
#10 251.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  32%|███▏      | 187M/589M [00:20<00:39, 10.6MB/s]
#10 251.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  32%|███▏      | 189M/589M [00:20<00:38, 10.9MB/s]
#10 252.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  32%|███▏      | 191M/589M [00:20<00:38, 10.7MB/s]
#10 252.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  33%|███▎      | 193M/589M [00:21<00:40, 10.1MB/s]
#10 252.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  33%|███▎      | 195M/589M [00:21<00:40, 10.1MB/s]
#10 252.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  33%|███▎      | 197M/589M [00:21<00:40, 10.2MB/s]
#10 252.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  34%|███▍      | 199M/589M [00:21<00:38, 10.5MB/s]
#10 253.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  34%|███▍      | 201M/589M [00:21<00:38, 10.5MB/s]
#10 253.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  34%|███▍      | 203M/589M [00:21<00:37, 10.8MB/s]
#10 253.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  35%|███▍      | 205M/589M [00:22<00:36, 10.9MB/s]
#10 253.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  35%|███▌      | 207M/589M [00:22<00:37, 10.6MB/s]
#10 253.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  35%|███▌      | 209M/589M [00:22<00:38, 10.4MB/s]
#10 254.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  36%|███▌      | 210M/589M [00:22<00:39, 10.1MB/s]
#10 254.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  36%|███▌      | 212M/589M [00:22<00:39, 10.1MB/s]
#10 254.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  36%|███▋      | 214M/589M [00:23<00:37, 10.6MB/s]
#10 254.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  37%|███▋      | 216M/589M [00:23<00:37, 10.4MB/s]
#10 254.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  37%|███▋      | 218M/589M [00:23<00:37, 10.4MB/s]
#10 255.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  37%|███▋      | 220M/589M [00:23<00:37, 10.3MB/s]
#10 255.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  38%|███▊      | 222M/589M [00:23<00:37, 10.2MB/s]
#10 255.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  38%|███▊      | 224M/589M [00:24<00:37, 10.2MB/s]
#10 255.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  38%|███▊      | 226M/589M [00:24<00:37, 10.2MB/s]
#10 255.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  39%|███▊      | 228M/589M [00:24<00:35, 10.6MB/s]
#10 256.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  39%|███▉      | 230M/589M [00:24<00:35, 10.5MB/s]
#10 256.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  39%|███▉      | 232M/589M [00:24<00:34, 10.9MB/s]
#10 256.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  40%|███▉      | 234M/589M [00:25<00:34, 10.7MB/s]
#10 256.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  40%|████      | 236M/589M [00:25<00:35, 10.5MB/s]
#10 256.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  40%|████      | 238M/589M [00:25<00:35, 10.3MB/s]
#10 256.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  41%|████      | 240M/589M [00:25<00:34, 10.8MB/s]
#10 257.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  41%|████      | 242M/589M [00:25<00:32, 11.1MB/s]
#10 257.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  41%|████▏     | 244M/589M [00:26<00:33, 10.8MB/s]
#10 257.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  42%|████▏     | 246M/589M [00:26<00:34, 10.5MB/s]
#10 257.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  42%|████▏     | 248M/589M [00:26<00:32, 10.9MB/s]
#10 257.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  42%|████▏     | 250M/589M [00:26<00:33, 10.7MB/s]
#10 258.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  43%|████▎     | 252M/589M [00:26<00:31, 11.1MB/s]
#10 258.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  43%|████▎     | 254M/589M [00:27<00:32, 10.7MB/s]
#10 258.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  43%|████▎     | 256M/589M [00:27<00:31, 11.1MB/s]
#10 258.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  44%|████▍     | 258M/589M [00:27<00:31, 11.0MB/s]
#10 258.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  44%|████▍     | 260M/589M [00:27<00:32, 10.7MB/s]
#10 259.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  45%|████▍     | 262M/589M [00:27<00:32, 10.5MB/s]
#10 259.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  45%|████▍     | 264M/589M [00:28<00:31, 10.9MB/s]
#10 259.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  45%|████▌     | 266M/589M [00:28<00:31, 10.7MB/s]
#10 259.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  46%|████▌     | 268M/589M [00:28<00:31, 10.6MB/s]
#10 259.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  46%|████▌     | 270M/589M [00:28<00:32, 10.3MB/s]
#10 260.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  46%|████▌     | 272M/589M [00:28<00:30, 10.7MB/s]
#10 260.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  47%|████▋     | 274M/589M [00:29<00:31, 10.6MB/s]
#10 260.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  47%|████▋     | 276M/589M [00:29<00:32, 10.2MB/s]
#10 260.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  47%|████▋     | 278M/589M [00:29<00:32, 10.1MB/s]
#10 260.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  48%|████▊     | 280M/589M [00:29<00:32, 10.1MB/s]
#10 261.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  48%|████▊     | 282M/589M [00:29<00:30, 10.5MB/s]
#10 261.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  48%|████▊     | 284M/589M [00:30<00:30, 10.4MB/s]
#10 261.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  49%|████▊     | 286M/589M [00:30<00:30, 10.4MB/s]
#10 261.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  49%|████▉     | 288M/589M [00:30<00:30, 10.5MB/s]
#10 261.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  49%|████▉     | 290M/589M [00:30<00:29, 10.8MB/s]
#10 262.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  50%|████▉     | 292M/589M [00:30<00:29, 10.5MB/s]
#10 262.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  50%|████▉     | 294M/589M [00:31<00:28, 10.8MB/s]
#10 262.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  50%|█████     | 296M/589M [00:31<00:28, 10.7MB/s]
#10 262.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  51%|█████     | 298M/589M [00:31<00:27, 11.0MB/s]
#10 262.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  51%|█████     | 300M/589M [00:31<00:28, 10.8MB/s]
#10 263.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  51%|█████▏    | 302M/589M [00:31<00:27, 11.0MB/s]
#10 263.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  52%|█████▏    | 304M/589M [00:31<00:27, 10.7MB/s]
#10 263.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  52%|█████▏    | 306M/589M [00:32<00:28, 10.5MB/s]
#10 263.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  52%|█████▏    | 308M/589M [00:32<00:27, 10.5MB/s]
#10 263.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  53%|█████▎    | 310M/589M [00:32<00:26, 10.8MB/s]
#10 264.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  53%|█████▎    | 312M/589M [00:32<00:28, 10.2MB/s]
#10 264.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  53%|█████▎    | 313M/589M [00:32<00:28, 10.1MB/s]
#10 264.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  54%|█████▎    | 315M/589M [00:33<00:28, 10.1MB/s]
#10 264.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  54%|█████▍    | 317M/589M [00:33<00:28, 10.2MB/s]
#10 264.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  54%|█████▍    | 319M/589M [00:33<00:26, 10.7MB/s]
#10 265.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  55%|█████▍    | 321M/589M [00:33<00:29, 9.54MB/s]
#10 265.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  55%|█████▍    | 322M/589M [00:33<00:29, 9.38MB/s]
#10 265.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  55%|█████▌    | 324M/589M [00:34<00:27, 10.1MB/s]
#10 265.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  55%|█████▌    | 326M/589M [00:34<00:27, 10.1MB/s]
#10 265.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  56%|█████▌    | 328M/589M [00:34<00:25, 10.7MB/s]
#10 265.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  56%|█████▌    | 330M/589M [00:34<00:25, 10.6MB/s]
#10 266.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  56%|█████▋    | 332M/589M [00:34<00:24, 10.9MB/s]
#10 266.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  57%|█████▋    | 334M/589M [00:35<00:24, 10.7MB/s]
#10 266.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  57%|█████▋    | 336M/589M [00:35<00:23, 11.0MB/s]
#10 266.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  57%|█████▋    | 338M/589M [00:35<00:24, 10.7MB/s]
#10 266.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  58%|█████▊    | 340M/589M [00:35<00:24, 10.5MB/s]
#10 267.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  58%|█████▊    | 342M/589M [00:35<00:25, 10.3MB/s]
#10 267.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  58%|█████▊    | 344M/589M [00:36<00:24, 10.3MB/s]
#10 267.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  59%|█████▉    | 346M/589M [00:36<00:23, 10.7MB/s]
#10 267.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  59%|█████▉    | 348M/589M [00:36<00:22, 11.0MB/s]
#10 267.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  59%|█████▉    | 350M/589M [00:36<00:23, 10.8MB/s]
#10 268.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  60%|█████▉    | 352M/589M [00:36<00:22, 11.2MB/s]
#10 268.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  60%|██████    | 354M/589M [00:37<00:22, 10.7MB/s]
#10 268.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  60%|██████    | 356M/589M [00:37<00:23, 10.5MB/s]
#10 268.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  61%|██████    | 358M/589M [00:37<00:22, 10.8MB/s]
#10 268.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  61%|██████    | 360M/589M [00:37<00:22, 10.7MB/s]
#10 269.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  61%|██████▏   | 362M/589M [00:37<00:22, 10.6MB/s]
#10 269.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  62%|██████▏   | 364M/589M [00:37<00:21, 10.9MB/s]
#10 269.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  62%|██████▏   | 366M/589M [00:38<00:21, 10.7MB/s]
#10 269.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  63%|██████▎   | 368M/589M [00:38<00:21, 10.6MB/s]
#10 269.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  63%|██████▎   | 370M/589M [00:38<00:21, 10.9MB/s]
#10 270.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  63%|██████▎   | 372M/589M [00:38<00:21, 10.6MB/s]
#10 270.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  64%|██████▎   | 374M/589M [00:38<00:21, 10.4MB/s]
#10 270.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  64%|██████▍   | 376M/589M [00:39<00:20, 10.9MB/s]
#10 270.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  64%|██████▍   | 378M/589M [00:39<00:20, 10.6MB/s]
#10 270.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  65%|██████▍   | 380M/589M [00:39<00:19, 10.9MB/s]
#10 271.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  65%|██████▍   | 382M/589M [00:39<00:20, 10.7MB/s]
#10 271.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  65%|██████▌   | 384M/589M [00:39<00:20, 10.5MB/s]
#10 271.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  66%|██████▌   | 386M/589M [00:40<00:20, 10.4MB/s]
#10 271.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  66%|██████▌   | 388M/589M [00:40<00:19, 10.8MB/s]
#10 271.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  66%|██████▌   | 390M/589M [00:40<00:19, 10.6MB/s]
#10 272.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  67%|██████▋   | 392M/589M [00:40<00:18, 11.0MB/s]
#10 272.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  67%|██████▋   | 394M/589M [00:40<00:19, 10.7MB/s]
#10 272.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  67%|██████▋   | 396M/589M [00:41<00:18, 11.1MB/s]
#10 272.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  68%|██████▊   | 398M/589M [00:41<00:17, 11.4MB/s]
#10 272.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  68%|██████▊   | 400M/589M [00:41<00:18, 10.9MB/s]
#10 272.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  68%|██████▊   | 402M/589M [00:41<00:17, 11.3MB/s]
#10 273.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  69%|██████▊   | 404M/589M [00:41<00:17, 10.8MB/s]
#10 273.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  69%|██████▉   | 406M/589M [00:42<00:17, 11.1MB/s]
#10 273.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  69%|██████▉   | 408M/589M [00:42<00:16, 11.3MB/s]
#10 273.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  70%|██████▉   | 410M/589M [00:42<00:17, 10.9MB/s]
#10 273.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  70%|██████▉   | 412M/589M [00:42<00:17, 10.9MB/s]
#10 274.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  70%|███████   | 414M/589M [00:42<00:16, 10.9MB/s]
#10 274.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  71%|███████   | 416M/589M [00:43<00:16, 10.7MB/s]
#10 274.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  71%|███████   | 418M/589M [00:43<00:16, 10.6MB/s]
#10 274.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  71%|███████▏  | 420M/589M [00:43<00:16, 10.5MB/s]
#10 274.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  72%|███████▏  | 422M/589M [00:43<00:16, 10.8MB/s]
#10 275.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  72%|███████▏  | 424M/589M [00:43<00:15, 11.2MB/s]
#10 275.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  72%|███████▏  | 426M/589M [00:43<00:15, 10.9MB/s]
#10 275.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  73%|███████▎  | 428M/589M [00:44<00:15, 10.7MB/s]
#10 275.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  73%|███████▎  | 430M/589M [00:44<00:15, 10.5MB/s]
#10 275.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  73%|███████▎  | 432M/589M [00:44<00:15, 10.4MB/s]
#10 276.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  74%|███████▎  | 434M/589M [00:44<00:14, 10.9MB/s]
#10 276.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  74%|███████▍  | 436M/589M [00:44<00:15, 10.5MB/s]
#10 276.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  74%|███████▍  | 438M/589M [00:45<00:14, 10.9MB/s]
#10 276.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  75%|███████▍  | 440M/589M [00:45<00:14, 10.8MB/s]
#10 276.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  75%|███████▌  | 442M/589M [00:45<00:14, 10.6MB/s]
#10 277.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  75%|███████▌  | 444M/589M [00:45<00:14, 10.7MB/s]
#10 277.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  76%|███████▌  | 446M/589M [00:45<00:14, 10.5MB/s]
#10 277.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  76%|███████▌  | 448M/589M [00:46<00:13, 10.6MB/s]
#10 277.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  76%|███████▋  | 450M/589M [00:46<00:13, 10.5MB/s]
#10 277.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  77%|███████▋  | 452M/589M [00:46<00:13, 10.6MB/s]
#10 278.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  77%|███████▋  | 454M/589M [00:46<00:13, 10.5MB/s]
#10 278.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  77%|███████▋  | 456M/589M [00:46<00:13, 10.4MB/s]
#10 278.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  78%|███████▊  | 458M/589M [00:47<00:13, 10.3MB/s]
#10 278.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  78%|███████▊  | 460M/589M [00:47<00:13, 10.2MB/s]
#10 278.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  78%|███████▊  | 461M/589M [00:47<00:13, 9.96MB/s]
#10 278.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  79%|███████▊  | 463M/589M [00:47<00:12, 10.5MB/s]
#10 279.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  79%|███████▉  | 465M/589M [00:47<00:12, 10.5MB/s]
#10 279.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  79%|███████▉  | 467M/589M [00:48<00:12, 10.4MB/s]
#10 279.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  80%|███████▉  | 469M/589M [00:48<00:12, 10.3MB/s]
#10 279.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  80%|████████  | 471M/589M [00:48<00:11, 10.8MB/s]
#10 279.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  80%|████████  | 473M/589M [00:48<00:11, 10.6MB/s]
#10 280.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  81%|████████  | 475M/589M [00:48<00:10, 10.9MB/s]
#10 280.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  81%|████████  | 477M/589M [00:49<00:10, 10.8MB/s]
#10 280.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  81%|████████▏ | 479M/589M [00:49<00:10, 11.1MB/s]
#10 280.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  82%|████████▏ | 481M/589M [00:49<00:10, 10.8MB/s]
#10 280.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  82%|████████▏ | 483M/589M [00:49<00:10, 10.5MB/s]
#10 281.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  82%|████████▏ | 485M/589M [00:49<00:10, 9.99MB/s]
#10 281.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  83%|████████▎ | 487M/589M [00:50<00:10, 10.0MB/s]
#10 281.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  83%|████████▎ | 489M/589M [00:50<00:09, 10.5MB/s]
#10 281.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  83%|████████▎ | 491M/589M [00:50<00:09, 10.4MB/s]
#10 281.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  84%|████████▎ | 493M/589M [00:50<00:09, 10.7MB/s]
#10 282.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  84%|████████▍ | 495M/589M [00:50<00:09, 10.6MB/s]
#10 282.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  84%|████████▍ | 497M/589M [00:51<00:09, 10.4MB/s]
#10 282.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  85%|████████▍ | 499M/589M [00:51<00:08, 10.5MB/s]
#10 282.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  85%|████████▌ | 501M/589M [00:51<00:08, 10.7MB/s]
#10 282.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  85%|████████▌ | 503M/589M [00:51<00:08, 10.4MB/s]
#10 283.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  86%|████████▌ | 505M/589M [00:51<00:08, 10.6MB/s]
#10 283.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  86%|████████▌ | 507M/589M [00:52<00:08, 10.5MB/s]
#10 283.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  86%|████████▋ | 509M/589M [00:52<00:08, 10.2MB/s]
#10 283.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  87%|████████▋ | 511M/589M [00:52<00:07, 10.6MB/s]
#10 283.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  87%|████████▋ | 513M/589M [00:52<00:07, 10.5MB/s]
#10 284.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  87%|████████▋ | 515M/589M [00:52<00:07, 10.4MB/s]
#10 284.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  88%|████████▊ | 517M/589M [00:53<00:07, 10.4MB/s]
#10 284.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  88%|████████▊ | 519M/589M [00:53<00:06, 10.7MB/s]
#10 284.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  88%|████████▊ | 521M/589M [00:53<00:06, 10.6MB/s]
#10 284.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  89%|████████▉ | 523M/589M [00:53<00:06, 10.5MB/s]
#10 285.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  89%|████████▉ | 525M/589M [00:53<00:06, 10.4MB/s]
#10 285.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  90%|████████▉ | 527M/589M [00:54<00:06, 10.3MB/s]
#10 285.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  90%|████████▉ | 529M/589M [00:54<00:05, 10.7MB/s]
#10 285.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  90%|█████████ | 531M/589M [00:54<00:05, 10.5MB/s]
#10 285.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  91%|█████████ | 533M/589M [00:54<00:05, 10.9MB/s]
#10 286.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  91%|█████████ | 535M/589M [00:54<00:05, 10.7MB/s]
#10 286.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  91%|█████████ | 537M/589M [00:55<00:05, 10.3MB/s]
#10 286.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  92%|█████████▏| 539M/589M [00:55<00:04, 10.8MB/s]
#10 286.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  92%|█████████▏| 541M/589M [00:55<00:04, 10.5MB/s]
#10 286.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  92%|█████████▏| 543M/589M [00:55<00:04, 10.4MB/s]
#10 287.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  92%|█████████▏| 544M/589M [00:55<00:04, 10.2MB/s]
#10 287.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  93%|█████████▎| 546M/589M [00:55<00:04, 10.2MB/s]
#10 287.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  93%|█████████▎| 548M/589M [00:56<00:04, 10.7MB/s]
#10 287.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  93%|█████████▎| 550M/589M [00:56<00:03, 10.5MB/s]
#10 287.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  94%|█████████▍| 552M/589M [00:56<00:03, 10.9MB/s]
#10 288.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  94%|█████████▍| 554M/589M [00:56<00:03, 10.7MB/s]
#10 288.1 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  94%|█████████▍| 556M/589M [00:56<00:03, 11.0MB/s]
#10 288.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  95%|█████████▍| 558M/589M [00:57<00:03, 10.7MB/s]
#10 288.6 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  95%|█████████▌| 560M/589M [00:57<00:02, 10.6MB/s]
#10 288.8 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  95%|█████████▌| 562M/589M [00:57<00:02, 9.96MB/s]
#10 289.0 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  96%|█████████▌| 564M/589M [00:57<00:02, 10.4MB/s]
#10 289.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  96%|█████████▌| 566M/589M [00:57<00:02, 10.8MB/s]
#10 289.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  96%|█████████▋| 568M/589M [00:58<00:02, 10.7MB/s]
#10 289.5 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  97%|█████████▋| 570M/589M [00:58<00:01, 11.0MB/s]
#10 289.7 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  97%|█████████▋| 572M/589M [00:58<00:01, 10.9MB/s]
#10 289.9 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  97%|█████████▋| 574M/589M [00:58<00:01, 10.5MB/s]
#10 290.2 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  98%|█████████▊| 576M/589M [00:58<00:01, 10.4MB/s]
#10 290.3 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  98%|█████████▊| 577M/589M [00:59<00:01, 10.2MB/s]
#10 290.4 
Downloading [models/MFR/pp_formulanet_plus_m/PP-FormulaNet_plus-M.pth]:  98%|█████████▊| 578M/589M [00:59<00:01, 10.2MB/s]
#10 290.6 
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#10 515.3 2026-03-21 21:02:28,645 - modelscope - INFO - Download model 'OpenDataLab/MinerU2.5-2509-1.2B' successfully.
#10 515.3 2026-03-21 21:02:28,645 - modelscope - INFO - Creating symbolic link [/root/.cache/modelscope/hub/models/OpenDataLab/MinerU2.5-2509-1.2B].
#10 515.3 2026-03-21 21:02:28.646 | INFO     | mineru.cli.models_download:download_vlm_models:86 - VLM models downloaded successfully to: /root/.cache/modelscope/hub/models/OpenDataLab/MinerU2___5-2509-1___2B
#10 515.3 2026-03-21 21:02:28.647 | INFO     | mineru.cli.models_download:configure_model:58 - The configuration file has been successfully configured, the path is: /root/mineru.json
#10 DONE 516.4s

#11 exporting to image
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