oobabooga / text-generation-webui

A Gradio web UI for Large Language Models.
GNU Affero General Public License v3.0
40.5k stars 5.31k forks source link

No longer works.. #6389

Closed noiraku closed 1 month ago

noiraku commented 1 month ago

Describe the bug

from yesterday whichever those requirement and deps updated is broke up running oobabooga, before yesterday were working fine, anyone got idea what deps breaking it? I would love to rollback if possible. Installing code and logs are in logs canvas.

Is there an existing issue for this?

Reproduction

-git pull oobabooga on kaggle like google colab -Install requirements.txt dependencies -Run it and gives error now. (At logs)

Screenshot

No response

Logs

----INSTALLING SECTION----

#Install ooba
def install_ooba():
    if os.path.exists(repo_dir):
        %cd {repo_dir}
    else:
        !git clone https://github.com/oobabooga/text-generation-webui.git
        %cd {repo_dir}

    !pip install -r requirements.txt --upgrade

    !python -m pip install --upgrade torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 xformers==0.0.26 --index-url https://download.pytorch.org/whl/cu121

    print("\033[1;32;1m\n --> If you see a warning about \"previously imported packages\", just ignore it.\033[0;37;0m")
    print("\033[1;32;1m\n --> There is no need to restart the runtime.\n\033[0;37;0m")

    #try:
        #import flash_attn
    #except:
        #!pip uninstall -y flash_attn

%cd /kaggle/working
repo_dir = '/kaggle/working/text-generation-webui'
install_ooba()

print(f"\033[1;32;1m\nReady to go next.\n\033[0;37;0m")

----LOGS-----
Sat Sep 21 01:46:05 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.90.07              Driver Version: 550.90.07      CUDA Version: 12.4     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  Tesla T4                       Off |   00000000:00:04.0 Off |                    0 |
| N/A   41C    P8              9W /   70W |       1MiB /  15360MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
|   1  Tesla T4                       Off |   00000000:00:05.0 Off |                    0 |
| N/A   43C    P8             11W /   70W |       1MiB /  15360MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Wed_Nov_22_10:17:15_PST_2023
Cuda compilation tools, release 12.3, V12.3.107
Build cuda_12.3.r12.3/compiler.33567101_0
/kaggle/working
Cloning into 'text-generation-webui'...
remote: Enumerating objects: 19072, done.
remote: Counting objects: 100% (28/28), done.
remote: Compressing objects: 100% (25/25), done.
remote: Total 19072 (delta 23), reused 3 (delta 3), pack-reused 19044 (from 1)
Receiving objects: 100% (19072/19072), 27.83 MiB | 38.51 MiB/s, done.
Resolving deltas: 100% (13558/13558), done.
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 398.0/398.0 MB 4.1 MB/s eta 0:00:0000:01
Ignoring llama-cpp-python-cuda-tensorcores: markers 'platform_system == "Windows" and python_version == "3.11"' don't match your environment
Ignoring llama-cpp-python-cuda-tensorcores: markers 'platform_system == "Windows" and python_version == "3.10"' don't match your environment
Ignoring llama-cpp-python-cuda-tensorcores: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting llama-cpp-python-cuda-tensorcores==0.2.89+cu121 (from -r requirements.txt (line 55))
  Downloading https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.89+cu121-cp310-cp310-linux_x86_64.whl (434.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 434.6/434.6 MB 3.6 MB/s eta 0:00:0000:0100:01
Ignoring exllamav2: markers 'platform_system == "Windows" and python_version == "3.11"' don't match your environment
Ignoring exllamav2: markers 'platform_system == "Windows" and python_version == "3.10"' don't match your environment
Ignoring exllamav2: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting exllamav2==0.1.8+cu121.torch2.2.2 (from -r requirements.txt (line 61))
  Downloading https://github.com/oobabooga/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.2.2-cp310-cp310-linux_x86_64.whl (135.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 135.6/135.6 MB 11.7 MB/s eta 0:00:0000:0100:01
Ignoring exllamav2: markers 'platform_system == "Linux" and platform_machine != "x86_64"' don't match your environment
Ignoring flash-attn: markers 'platform_system == "Windows" and python_version == "3.11"' don't match your environment
Ignoring flash-attn: markers 'platform_system == "Windows" and python_version == "3.10"' don't match your environment
Ignoring flash-attn: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting flash-attn==2.6.1+cu123torch2.2cxx11abiFALSE (from -r requirements.txt (line 66))
  Downloading https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.1/flash_attn-2.6.1+cu123torch2.2cxx11abiFALSE-cp310-cp310-linux_x86_64.whl (198.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 198.4/198.4 MB 8.0 MB/s eta 0:00:0000:0100:01
Ignoring autoawq: markers 'platform_system == "Windows" and python_version == "3.11"' don't match your environment
Ignoring autoawq: markers 'platform_system == "Windows" and python_version == "3.10"' don't match your environment
Ignoring autoawq: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting autoawq==0.2.6 (from -r requirements.txt (line 70))
  Downloading https://github.com/oobabooga/AutoAWQ/releases/download/0.2.6/autoawq-0.2.6-cp310-cp310-linux_x86_64.whl (94 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 94.9/94.9 kB 6.4 MB/s eta 0:00:00
Ignoring autoawq-kernels: markers 'platform_system == "Windows" and python_version == "3.11"' don't match your environment
Ignoring autoawq-kernels: markers 'platform_system == "Windows" and python_version == "3.10"' don't match your environment
Ignoring autoawq-kernels: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting autoawq-kernels==0.0.7 (from -r requirements.txt (line 74))
  Downloading https://github.com/oobabooga/AutoAWQ_kernels/releases/download/0.0.7/autoawq_kernels-0.0.7-cp310-cp310-linux_x86_64.whl (33.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.4/33.4 MB 48.1 MB/s eta 0:00:0000:0100:01
Requirement already satisfied: accelerate==0.33.* in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 1)) (0.33.0)
Collecting aqlm==1.1.6 (from aqlm[cpu,gpu]==1.1.6->-r requirements.txt (line 2))
  Downloading aqlm-1.1.6-py3-none-any.whl.metadata (1.7 kB)
Collecting auto-gptq==0.7.1 (from -r requirements.txt (line 3))
  Downloading auto_gptq-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)
Collecting bitsandbytes==0.43.* (from -r requirements.txt (line 4))
  Downloading bitsandbytes-0.43.3-py3-none-manylinux_2_24_x86_64.whl.metadata (3.5 kB)
Requirement already satisfied: colorama in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 5)) (0.4.6)
Requirement already satisfied: datasets in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 6)) (2.21.0)
Collecting datasets (from -r requirements.txt (line 6))
  Downloading datasets-3.0.0-py3-none-any.whl.metadata (19 kB)
Collecting einops (from -r requirements.txt (line 7))
  Downloading einops-0.8.0-py3-none-any.whl.metadata (12 kB)
Collecting fastapi==0.112.4 (from -r requirements.txt (line 8))
  Downloading fastapi-0.112.4-py3-none-any.whl.metadata (27 kB)
Collecting gradio==4.26.* (from -r requirements.txt (line 9))
  Downloading gradio-4.26.0-py3-none-any.whl.metadata (15 kB)
Collecting hqq==0.1.7.post3 (from -r requirements.txt (line 10))
  Downloading hqq-0.1.7.post3.tar.gz (50 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.3/50.3 kB 3.1 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... -Requirement already satisfied: aiofiles<24.0,>=22.0 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (22.1.0)
Requirement already satisfied: altair<6.0,>=4.2.0 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (5.4.0)
Collecting ffmpy (from gradio==4.26.*->-r requirements.txt (line 9))
  Downloading ffmpy-0.4.0-py3-none-any.whl.metadata (2.9 kB)
Collecting gradio-client==0.15.1 (from gradio==4.26.*->-r requirements.txt (line 9))
  Downloading gradio_client-0.15.1-py3-none-any.whl.metadata (7.1 kB)
Requirement already satisfied: httpx>=0.24.1 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (0.27.0)
Requirement already satisfied: importlib-resources<7.0,>=1.3 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (6.4.0)
Requirement already satisfied: markupsafe~=2.0 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (2.1.5)
Requirement already satisfied: matplotlib~=3.0 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (3.7.5)
Requirement already satisfied: orjson~=3.0 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (3.10.4)
Requirement already satisfied: pydub in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (0.25.1)
Requirement already satisfied: python-multipart>=0.0.9 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (0.0.9)
Collecting ruff>=0.2.2 (from gradio==4.26.*->-r requirements.txt (line 9))
  Downloading ruff-0.6.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (25 kB)
Collecting semantic-version~=2.0 (from gradio==4.26.*->-r requirements.txt (line 9))
  Downloading semantic_version-2.10.0-py2.py3-none-any.whl.metadata (9.7 kB)
Collecting tomlkit==0.12.0 (from gradio==4.26.*->-r requirements.txt (line 9))
  Downloading tomlkit-0.12.0-py3-none-any.whl.metadata (2.7 kB)
Requirement already satisfied: typer<1.0,>=0.9 in /opt/conda/lib/python3.10/site-packages (from typer[all]<1.0,>=0.9; sys_platform != "emscripten"->gradio==4.26.*->-r requirements.txt (line 9)) (0.12.3)
Requirement already satisfied: uvicorn>=0.14.0 in /opt/conda/lib/python3.10/site-packages (from gradio==4.26.*->-r requirements.txt (line 9)) (0.30.1)
Requirement already satisfied: termcolor in /opt/conda/lib/python3.10/site-packages (from hqq==0.1.7.post3->-r requirements.txt (line 10)) (2.4.0)
Collecting jsonlines (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading jsonlines-4.0.0-py3-none-any.whl.metadata (1.6 kB)
Requirement already satisfied: numexpr in /opt/conda/lib/python3.10/site-packages (from lm_eval==0.3.0->-r requirements.txt (line 12)) (2.10.1)
Collecting openai>=0.6.4 (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading openai-1.47.0-py3-none-any.whl.metadata (24 kB)
Requirement already satisfied: pybind11>=2.6.2 in /opt/conda/lib/python3.10/site-packages (from lm_eval==0.3.0->-r requirements.txt (line 12)) (2.13.4)
Collecting pycountry (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading pycountry-24.6.1-py3-none-any.whl.metadata (12 kB)
Collecting pytablewriter (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading pytablewriter-1.2.0-py3-none-any.whl.metadata (37 kB)
Collecting rouge-score>=0.0.4 (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading rouge_score-0.1.2.tar.gz (17 kB)
  Preparing metadata (setup.py) ... done
Collecting sacrebleu==1.5.0 (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading sacrebleu-1.5.0-py3-none-any.whl.metadata (1.3 kB)
Requirement already satisfied: scikit-learn>=0.24.1 in /opt/conda/lib/python3.10/site-packages (from lm_eval==0.3.0->-r requirements.txt (line 12)) (1.2.2)
Collecting sqlitedict (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading sqlitedict-2.1.0.tar.gz (21 kB)
  Preparing metadata (setup.py) ... done
Collecting tqdm-multiprocess (from lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading tqdm_multiprocess-0.0.11-py3-none-any.whl.metadata (5.7 kB)
Requirement already satisfied: zstandard in /opt/conda/lib/python3.10/site-packages (from lm_eval==0.3.0->-r requirements.txt (line 12)) (0.23.0)
Collecting llvmlite<0.43,>=0.42.0dev0 (from numba==0.59.*->-r requirements.txt (line 14))
  Downloading llvmlite-0.42.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.8 kB)
Collecting coloredlogs (from optimum==1.17.*->-r requirements.txt (line 16))
  Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)
Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from optimum==1.17.*->-r requirements.txt (line 16)) (1.13.2)
Requirement already satisfied: annotated-types>=0.4.0 in /opt/conda/lib/python3.10/site-packages (from pydantic==2.8.2->-r requirements.txt (line 21)) (0.7.0)
Requirement already satisfied: pydantic-core==2.20.1 in /opt/conda/lib/python3.10/site-packages (from pydantic==2.8.2->-r requirements.txt (line 21)) (2.20.1)
Requirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from transformers==4.44.*->-r requirements.txt (line 29)) (3.15.1)
Requirement already satisfied: regex!=2019.12.17 in /opt/conda/lib/python3.10/site-packages (from transformers==4.44.*->-r requirements.txt (line 29)) (2024.5.15)
Requirement already satisfied: tokenizers<0.20,>=0.19 in /opt/conda/lib/python3.10/site-packages (from transformers==4.44.*->-r requirements.txt (line 29)) (0.19.1)
Requirement already satisfied: Flask>=0.8 in /opt/conda/lib/python3.10/site-packages (from flask_cloudflared==0.0.14->-r requirements.txt (line 35)) (3.0.3)
Collecting triton>=2.1 (from aqlm[cpu,gpu]==1.1.6->-r requirements.txt (line 2))
  Downloading triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.3 kB)
Requirement already satisfied: ninja in /opt/conda/lib/python3.10/site-packages (from aqlm[cpu,gpu]==1.1.6->-r requirements.txt (line 2)) (1.11.1.1)
Requirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from gradio-client==0.15.1->gradio==4.26.*->-r requirements.txt (line 9)) (2024.6.1)
Collecting websockets<12.0,>=10.0 (from gradio-client==0.15.1->gradio==4.26.*->-r requirements.txt (line 9))
  Downloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)
Collecting portalocker (from sacrebleu==1.5.0->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading portalocker-2.10.1-py3-none-any.whl.metadata (8.5 kB)
Requirement already satisfied: pyarrow>=15.0.0 in /opt/conda/lib/python3.10/site-packages (from datasets->-r requirements.txt (line 6)) (16.1.0)
Requirement already satisfied: dill<0.3.9,>=0.3.0 in /opt/conda/lib/python3.10/site-packages (from datasets->-r requirements.txt (line 6)) (0.3.8)
Requirement already satisfied: xxhash in /opt/conda/lib/python3.10/site-packages (from datasets->-r requirements.txt (line 6)) (3.4.1)
Requirement already satisfied: multiprocess in /opt/conda/lib/python3.10/site-packages (from datasets->-r requirements.txt (line 6)) (0.70.16)
Requirement already satisfied: aiohttp in /opt/conda/lib/python3.10/site-packages (from datasets->-r requirements.txt (line 6)) (3.9.5)
Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas->-r requirements.txt (line 17)) (2.9.0.post0)
Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas->-r requirements.txt (line 17)) (2024.1)
Requirement already satisfied: tzdata>=2022.7 in /opt/conda/lib/python3.10/site-packages (from pandas->-r requirements.txt (line 17)) (2024.1)
Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests->-r requirements.txt (line 23)) (3.3.2)
Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->-r requirements.txt (line 23)) (3.7)
Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->-r requirements.txt (line 23)) (1.26.18)
Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->-r requirements.txt (line 23)) (2024.7.4)
Requirement already satisfied: markdown-it-py>=2.2.0 in /opt/conda/lib/python3.10/site-packages (from rich->-r requirements.txt (line 24)) (3.0.0)
Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /opt/conda/lib/python3.10/site-packages (from rich->-r requirements.txt (line 24)) (2.18.0)
Requirement already satisfied: absl-py>=0.4 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (1.4.0)
Requirement already satisfied: grpcio>=1.48.2 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (1.62.2)
Requirement already satisfied: protobuf!=4.24.0,>=3.19.6 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (3.20.3)
Requirement already satisfied: setuptools>=41.0.0 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (70.0.0)
Requirement already satisfied: six>1.9 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (1.16.0)
Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (0.7.2)
Requirement already satisfied: werkzeug>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from tensorboard->-r requirements.txt (line 28)) (3.0.3)
Requirement already satisfied: click!=8.0.0,>=7.1 in /opt/conda/lib/python3.10/site-packages (from wandb->-r requirements.txt (line 31)) (8.1.7)
Requirement already satisfied: docker-pycreds>=0.4.0 in /opt/conda/lib/python3.10/site-packages (from wandb->-r requirements.txt (line 31)) (0.4.0)
Requirement already satisfied: gitpython!=3.1.29,>=1.0.0 in /opt/conda/lib/python3.10/site-packages (from wandb->-r requirements.txt (line 31)) (3.1.43)
Requirement already satisfied: platformdirs in /opt/conda/lib/python3.10/site-packages (from wandb->-r requirements.txt (line 31)) (3.11.0)
Requirement already satisfied: sentry-sdk>=1.0.0 in /opt/conda/lib/python3.10/site-packages (from wandb->-r requirements.txt (line 31)) (2.13.0)
Requirement already satisfied: setproctitle in /opt/conda/lib/python3.10/site-packages (from wandb->-r requirements.txt (line 31)) (1.3.3)
Collecting diskcache>=5.6.1 (from llama-cpp-python==0.2.89+cpuavx2->-r requirements.txt (line 41))
  Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Collecting fastparquet (from exllamav2==0.1.8+cu121.torch2.2.2->-r requirements.txt (line 61))
  Downloading fastparquet-2024.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.1 kB)
Collecting torch>=1.10.0 (from accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl.metadata (26 kB)
Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1)) (3.3)
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-nccl-cu12==2.19.3 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)
Collecting triton>=2.1 (from aqlm[cpu,gpu]==1.1.6->-r requirements.txt (line 2))
  Downloading triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)
Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.10.0->accelerate==0.33.*->-r requirements.txt (line 1))
  Downloading nvidia_nvjitlink_cu12-12.6.68-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Requirement already satisfied: jsonschema>=3.0 in /opt/conda/lib/python3.10/site-packages (from altair<6.0,>=4.2.0->gradio==4.26.*->-r requirements.txt (line 9)) (4.22.0)
Requirement already satisfied: narwhals>=1.1.0 in /opt/conda/lib/python3.10/site-packages (from altair<6.0,>=4.2.0->gradio==4.26.*->-r requirements.txt (line 9)) (1.4.2)
Requirement already satisfied: itsdangerous>=2.1.2 in /opt/conda/lib/python3.10/site-packages (from Flask>=0.8->flask_cloudflared==0.0.14->-r requirements.txt (line 35)) (2.2.0)
Requirement already satisfied: blinker>=1.6.2 in /opt/conda/lib/python3.10/site-packages (from Flask>=0.8->flask_cloudflared==0.0.14->-r requirements.txt (line 35)) (1.8.2)
Requirement already satisfied: aiosignal>=1.1.2 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets->-r requirements.txt (line 6)) (1.3.1)
Requirement already satisfied: attrs>=17.3.0 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets->-r requirements.txt (line 6)) (23.2.0)
Requirement already satisfied: frozenlist>=1.1.1 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets->-r requirements.txt (line 6)) (1.4.1)
Requirement already satisfied: multidict<7.0,>=4.5 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets->-r requirements.txt (line 6)) (6.0.5)
Requirement already satisfied: yarl<2.0,>=1.0 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets->-r requirements.txt (line 6)) (1.9.4)
Requirement already satisfied: async-timeout<5.0,>=4.0 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets->-r requirements.txt (line 6)) (4.0.3)
Requirement already satisfied: gitdb<5,>=4.0.1 in /opt/conda/lib/python3.10/site-packages (from gitpython!=3.1.29,>=1.0.0->wandb->-r requirements.txt (line 31)) (4.0.11)
Requirement already satisfied: anyio in /opt/conda/lib/python3.10/site-packages (from httpx>=0.24.1->gradio==4.26.*->-r requirements.txt (line 9)) (4.4.0)
Requirement already satisfied: httpcore==1.* in /opt/conda/lib/python3.10/site-packages (from httpx>=0.24.1->gradio==4.26.*->-r requirements.txt (line 9)) (1.0.5)
Requirement already satisfied: sniffio in /opt/conda/lib/python3.10/site-packages (from httpx>=0.24.1->gradio==4.26.*->-r requirements.txt (line 9)) (1.3.1)
Requirement already satisfied: h11<0.15,>=0.13 in /opt/conda/lib/python3.10/site-packages (from httpcore==1.*->httpx>=0.24.1->gradio==4.26.*->-r requirements.txt (line 9)) (0.14.0)
Requirement already satisfied: mdurl~=0.1 in /opt/conda/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich->-r requirements.txt (line 24)) (0.1.2)
Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib~=3.0->gradio==4.26.*->-r requirements.txt (line 9)) (1.2.1)
Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.10/site-packages (from matplotlib~=3.0->gradio==4.26.*->-r requirements.txt (line 9)) (0.12.1)
Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib~=3.0->gradio==4.26.*->-r requirements.txt (line 9)) (4.53.0)
Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib~=3.0->gradio==4.26.*->-r requirements.txt (line 9)) (1.4.5)
Requirement already satisfied: pyparsing>=2.3.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib~=3.0->gradio==4.26.*->-r requirements.txt (line 9)) (3.1.2)
Requirement already satisfied: distro<2,>=1.7.0 in /opt/conda/lib/python3.10/site-packages (from openai>=0.6.4->lm_eval==0.3.0->-r requirements.txt (line 12)) (1.9.0)
Collecting jiter<1,>=0.4.0 (from openai>=0.6.4->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading jiter-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.6 kB)
Requirement already satisfied: nltk in /opt/conda/lib/python3.10/site-packages (from rouge-score>=0.0.4->lm_eval==0.3.0->-r requirements.txt (line 12)) (3.2.4)
Requirement already satisfied: joblib>=1.1.1 in /opt/conda/lib/python3.10/site-packages (from scikit-learn>=0.24.1->lm_eval==0.3.0->-r requirements.txt (line 12)) (1.4.2)
Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/lib/python3.10/site-packages (from scikit-learn>=0.24.1->lm_eval==0.3.0->-r requirements.txt (line 12)) (3.5.0)
Requirement already satisfied: shellingham>=1.3.0 in /opt/conda/lib/python3.10/site-packages (from typer<1.0,>=0.9->typer[all]<1.0,>=0.9; sys_platform != "emscripten"->gradio==4.26.*->-r requirements.txt (line 9)) (1.5.4)
WARNING: typer 0.12.3 does not provide the extra 'all'
Collecting humanfriendly>=9.1 (from coloredlogs->optimum==1.17.*->-r requirements.txt (line 16))
  Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)
Collecting cramjam>=2.3 (from fastparquet->exllamav2==0.1.8+cu121.torch2.2.2->-r requirements.txt (line 61))
  Downloading cramjam-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.2 kB)
Collecting DataProperty<2,>=1.0.1 (from pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading DataProperty-1.0.1-py3-none-any.whl.metadata (11 kB)
Collecting mbstrdecoder<2,>=1.0.0 (from pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading mbstrdecoder-1.1.3-py3-none-any.whl.metadata (4.0 kB)
Collecting pathvalidate<4,>=2.3.0 (from pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading pathvalidate-3.2.1-py3-none-any.whl.metadata (12 kB)
Collecting tabledata<2,>=1.3.1 (from pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading tabledata-1.3.3-py3-none-any.whl.metadata (3.7 kB)
Collecting tcolorpy<1,>=0.0.5 (from pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading tcolorpy-0.1.6-py3-none-any.whl.metadata (6.4 kB)
Collecting typepy<2,>=1.3.2 (from typepy[datetime]<2,>=1.3.2->pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading typepy-1.3.2-py3-none-any.whl.metadata (9.3 kB)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/lib/python3.10/site-packages (from sympy->optimum==1.17.*->-r requirements.txt (line 16)) (1.3.0)
Requirement already satisfied: exceptiongroup>=1.0.2 in /opt/conda/lib/python3.10/site-packages (from anyio->httpx>=0.24.1->gradio==4.26.*->-r requirements.txt (line 9)) (1.2.0)
Requirement already satisfied: smmap<6,>=3.0.1 in /opt/conda/lib/python3.10/site-packages (from gitdb<5,>=4.0.1->gitpython!=3.1.29,>=1.0.0->wandb->-r requirements.txt (line 31)) (5.0.1)
Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/conda/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.26.*->-r requirements.txt (line 9)) (2023.12.1)
Requirement already satisfied: referencing>=0.28.4 in /opt/conda/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.26.*->-r requirements.txt (line 9)) (0.35.1)
Requirement already satisfied: rpds-py>=0.7.1 in /opt/conda/lib/python3.10/site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.26.*->-r requirements.txt (line 9)) (0.18.1)
Collecting chardet<6,>=3.0.4 (from mbstrdecoder<2,>=1.0.0->pytablewriter->lm_eval==0.3.0->-r requirements.txt (line 12))
  Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)
Downloading aqlm-1.1.6-py3-none-any.whl (14 kB)
Downloading auto_gptq-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.5/23.5 MB 63.5 MB/s eta 0:00:00:00:0100:01
Downloading bitsandbytes-0.43.3-py3-none-manylinux_2_24_x86_64.whl (137.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 137.5/137.5 MB 11.9 MB/s eta 0:00:0000:0100:01
Downloading fastapi-0.112.4-py3-none-any.whl (93 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.9/93.9 kB 6.7 MB/s eta 0:00:00
Downloading gradio-4.26.0-py3-none-any.whl (17.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.1/17.1 MB 69.2 MB/s eta 0:00:00:00:0100:01
Downloading lm_eval-0.3.0-py3-none-any.whl (178 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 178.7/178.7 kB 12.8 MB/s eta 0:00:00
Downloading numba-0.59.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.7/3.7 MB 67.2 MB/s eta 0:00:00:00:01
Downloading optimum-1.17.1-py3-none-any.whl (407 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 407.1/407.1 kB 26.4 MB/s eta 0:00:00
Downloading peft-0.12.0-py3-none-any.whl (296 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 296.4/296.4 kB 20.7 MB/s eta 0:00:00
Downloading safetensors-0.4.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 16.9 MB/s eta 0:00:00
Downloading transformers-4.44.2-py3-none-any.whl (9.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.5/9.5 MB 87.8 MB/s eta 0:00:00:00:0100:01
Downloading SpeechRecognition-3.10.0-py2.py3-none-any.whl (32.8 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 32.8/32.8 MB 46.7 MB/s eta 0:00:00:00:0100:01
Downloading flask_cloudflared-0.0.14-py3-none-any.whl (6.4 kB)
Downloading sse_starlette-1.6.5-py3-none-any.whl (9.6 kB)
Downloading gradio_client-0.15.1-py3-none-any.whl (313 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 313.6/313.6 kB 23.9 MB/s eta 0:00:00
Downloading sacrebleu-1.5.0-py3-none-any.whl (65 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.6/65.6 kB 4.5 MB/s eta 0:00:00
Downloading tomlkit-0.12.0-py3-none-any.whl (37 kB)
Downloading datasets-3.0.0-py3-none-any.whl (474 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 474.3/474.3 kB 31.3 MB/s eta 0:00:00
Downloading einops-0.8.0-py3-none-any.whl (43 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 43.2/43.2 kB 2.8 MB/s eta 0:00:00
Downloading Markdown-3.7-py3-none-any.whl (106 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 106.3/106.3 kB 8.6 MB/s eta 0:00:00
Downloading pandas-2.2.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.1/13.1 MB 77.4 MB/s eta 0:00:00:00:0100:01
Downloading pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl (4.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.5/4.5 MB 68.8 MB/s eta 0:00:00ta 0:00:01
Downloading psutil-6.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (290 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 290.5/290.5 kB 16.0 MB/s eta 0:00:00
Downloading rich-13.8.1-py3-none-any.whl (241 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 241.6/241.6 kB 16.2 MB/s eta 0:00:00
Downloading scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (41.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.2/41.2 MB 40.7 MB/s eta 0:00:00:00:0100:01
Downloading tensorboard-2.17.1-py3-none-any.whl (5.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.5/5.5 MB 93.4 MB/s eta 0:00:00:00:01
Downloading tqdm-4.66.5-py3-none-any.whl (78 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.4/78.4 kB 6.2 MB/s eta 0:00:00
Downloading wandb-0.18.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.7/9.7 MB 85.2 MB/s eta 0:00:00:00:0100:01
Downloading tiktoken-0.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 55.8 MB/s eta 0:00:00
Downloading torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl (755.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 755.5/755.5 MB 2.1 MB/s eta 0:00:00:00:0100:01
Downloading triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (167.9 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 167.9/167.9 MB 8.2 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 410.6/410.6 MB 1.6 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.1/14.1 MB 80.1 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 60.8 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 823.6/823.6 kB 41.2 MB/s eta 0:00:00
Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 731.7/731.7 MB 2.0 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.6/121.6 MB 2.3 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.5/56.5 MB 6.9 MB/s eta 0:00:000:00:0100:01
Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 124.2/124.2 MB 13.3 MB/s eta 0:00:0000:0100:01
Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 196.0/196.0 MB 8.3 MB/s eta 0:00:00:00:0100:01
Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl (166.0 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 166.0/166.0 MB 10.0 MB/s eta 0:00:0000:0100:01
Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.1/99.1 kB 7.8 MB/s eta 0:00:00
Downloading diskcache-5.6.3-py3-none-any.whl (45 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.5/45.5 kB 3.7 MB/s eta 0:00:00
Downloading llvmlite-0.42.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.8 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 43.8/43.8 MB 39.8 MB/s eta 0:00:00:00:0100:01
Downloading openai-1.47.0-py3-none-any.whl (375 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 375.6/375.6 kB 26.6 MB/s eta 0:00:00
Downloading ruff-0.6.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.9/11.9 MB 82.6 MB/s eta 0:00:00:00:010:01
Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)
Downloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 129.9/129.9 kB 10.9 MB/s eta 0:00:00
Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.0/46.0 kB 3.4 MB/s eta 0:00:00
Downloading fastparquet-2024.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 62.6 MB/s eta 0:00:00
Downloading ffmpy-0.4.0-py3-none-any.whl (5.8 kB)
Downloading gekko-1.2.1-py3-none-any.whl (13.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.2/13.2 MB 78.9 MB/s eta 0:00:00:00:0100:01
Downloading jsonlines-4.0.0-py3-none-any.whl (8.7 kB)
Downloading pycountry-24.6.1-py3-none-any.whl (6.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 89.5 MB/s eta 0:00:00:00:0100:01
Downloading pytablewriter-1.2.0-py3-none-any.whl (111 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 111.1/111.1 kB 8.9 MB/s eta 0:00:00
Downloading rouge-1.0.1-py3-none-any.whl (13 kB)
Downloading tqdm_multiprocess-0.0.11-py3-none-any.whl (9.8 kB)
Downloading cramjam-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 66.9 MB/s eta 0:00:00
Downloading DataProperty-1.0.1-py3-none-any.whl (27 kB)
Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 86.8/86.8 kB 7.6 MB/s eta 0:00:00
Downloading jiter-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (318 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 318.9/318.9 kB 22.6 MB/s eta 0:00:00
Downloading mbstrdecoder-1.1.3-py3-none-any.whl (7.8 kB)
Downloading pathvalidate-3.2.1-py3-none-any.whl (23 kB)
Downloading tabledata-1.3.3-py3-none-any.whl (11 kB)
Downloading tcolorpy-0.1.6-py3-none-any.whl (8.1 kB)
Downloading typepy-1.3.2-py3-none-any.whl (31 kB)
Downloading portalocker-2.10.1-py3-none-any.whl (18 kB)
Downloading chardet-5.2.0-py3-none-any.whl (199 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 kB 14.5 MB/s eta 0:00:00
Downloading nvidia_nvjitlink_cu12-12.6.68-py3-none-manylinux2014_x86_64.whl (19.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 69.3 MB/s eta 0:00:00:00:0100:01
Building wheels for collected packages: hqq, rouge-score, sqlitedict
  Building wheel for hqq (setup.py) ... done
  Created wheel for hqq: filename=hqq-0.1.7.post3-py3-none-any.whl size=59171 sha256=c8bf48e525ed61a936a82bf56fd43bc3e609adbf0c9d99c14939c93710dfb95b
  Stored in directory: /root/.cache/pip/wheels/e6/48/52/64097324429cfc0c8e47c763b060a132484cdb0a99483ecf82
  Building wheel for rouge-score (setup.py) ... done
  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24934 sha256=77bef5efb40633179e756298fefd41ba473006fe4e8c4431a7ffe16564fb751e
  Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
  Building wheel for sqlitedict (setup.py) ... done
  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16862 sha256=97be67b1849af70781a815debbdc1fa25d49d70429db78089fb7dc76834f363d
  Stored in directory: /root/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd
Successfully built hqq rouge-score sqlitedict
Installing collected packages: sqlitedict, websockets, triton, tqdm, tomlkit, tcolorpy, semantic-version, scipy, safetensors, ruff, rouge, pycountry, psutil, portalocker, Pillow, pathvalidate, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, markdown, llvmlite, jsonlines, jiter, humanfriendly, gekko, ffmpy, einops, diskcache, cramjam, chardet, tqdm-multiprocess, tiktoken, tensorboard, SpeechRecognition, sacrebleu, rouge-score, rich, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numba, mbstrdecoder, llama-cpp-python-cuda-tensorcores, llama-cpp-python-cuda, llama-cpp-python, coloredlogs, wandb, typepy, sse-starlette, openai, nvidia-cusolver-cu12, gradio-client, flask_cloudflared, fastparquet, fastapi, transformers, torch, exllamav2, datasets, gradio, flash-attn, DataProperty, bitsandbytes, autoawq-kernels, tabledata, peft, optimum, hqq, autoawq, aqlm, pytablewriter, auto-gptq, lm_eval
  Attempting uninstall: websockets
    Found existing installation: websockets 12.0
    Uninstalling websockets-12.0:
      Successfully uninstalled websockets-12.0
  Attempting uninstall: tqdm
    Found existing installation: tqdm 4.66.4
    Uninstalling tqdm-4.66.4:
      Successfully uninstalled tqdm-4.66.4
  Attempting uninstall: tomlkit
    Found existing installation: tomlkit 0.13.2
    Uninstalling tomlkit-0.13.2:
      Successfully uninstalled tomlkit-0.13.2
  Attempting uninstall: scipy
    Found existing installation: scipy 1.14.0
    Uninstalling scipy-1.14.0:
      Successfully uninstalled scipy-1.14.0
  Attempting uninstall: safetensors
    Found existing installation: safetensors 0.4.4
    Uninstalling safetensors-0.4.4:
      Successfully uninstalled safetensors-0.4.4
  Attempting uninstall: psutil
    Found existing installation: psutil 5.9.3
    Uninstalling psutil-5.9.3:
      Successfully uninstalled psutil-5.9.3
  Attempting uninstall: Pillow
    Found existing installation: Pillow 9.5.0
    Uninstalling Pillow-9.5.0:
      Successfully uninstalled Pillow-9.5.0
  Attempting uninstall: markdown
    Found existing installation: Markdown 3.6
    Uninstalling Markdown-3.6:
      Successfully uninstalled Markdown-3.6
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.41.1
    Uninstalling llvmlite-0.41.1:
      Successfully uninstalled llvmlite-0.41.1
  Attempting uninstall: tensorboard
    Found existing installation: tensorboard 2.16.2
    Uninstalling tensorboard-2.16.2:
      Successfully uninstalled tensorboard-2.16.2
  Attempting uninstall: rich
    Found existing installation: rich 13.7.1
    Uninstalling rich-13.7.1:
      Successfully uninstalled rich-13.7.1
  Attempting uninstall: pandas
    Found existing installation: pandas 2.2.2
    Uninstalling pandas-2.2.2:
      Successfully uninstalled pandas-2.2.2
  Attempting uninstall: numba
    Found existing installation: numba 0.58.1
    Uninstalling numba-0.58.1:
      Successfully uninstalled numba-0.58.1
  Attempting uninstall: wandb
    Found existing installation: wandb 0.17.7
    Uninstalling wandb-0.17.7:
      Successfully uninstalled wandb-0.17.7
  Attempting uninstall: fastapi
    Found existing installation: fastapi 0.111.0
    Uninstalling fastapi-0.111.0:
      Successfully uninstalled fastapi-0.111.0
  Attempting uninstall: transformers
    Found existing installation: transformers 4.44.0
    Uninstalling transformers-4.44.0:
      Successfully uninstalled transformers-4.44.0
  Attempting uninstall: torch
    Found existing installation: torch 2.4.0
    Uninstalling torch-2.4.0:
      Successfully uninstalled torch-2.4.0
  Attempting uninstall: datasets
    Found existing installation: datasets 2.21.0
    Uninstalling datasets-2.21.0:
      Successfully uninstalled datasets-2.21.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
cudf 24.8.2 requires cubinlinker, which is not installed.
cudf 24.8.2 requires cupy-cuda11x>=12.0.0, which is not installed.
cudf 24.8.2 requires ptxcompiler, which is not installed.
cuml 24.8.0 requires cupy-cuda11x>=12.0.0, which is not installed.
dask-cudf 24.8.2 requires cupy-cuda11x>=12.0.0, which is not installed.
ucxx 0.39.1 requires libucx>=1.15.0, which is not installed.
beatrix-jupyterlab 2024.66.154055 requires jupyterlab~=3.6.0, but you have jupyterlab 4.2.4 which is incompatible.
bigframes 0.22.0 requires google-cloud-bigquery[bqstorage,pandas]>=3.10.0, but you have google-cloud-bigquery 2.34.4 which is incompatible.
bigframes 0.22.0 requires google-cloud-storage>=2.0.0, but you have google-cloud-storage 1.44.0 which is incompatible.
bigframes 0.22.0 requires pandas<2.1.4,>=1.5.0, but you have pandas 2.2.3 which is incompatible.
conda 24.7.1 requires packaging>=23.0, but you have packaging 21.3 which is incompatible.
cudf 24.8.2 requires cuda-python<12.0a0,>=11.7.1, but you have cuda-python 12.6.0 which is incompatible.
cudf 24.8.2 requires pandas<2.2.3dev0,>=2.0, but you have pandas 2.2.3 which is incompatible.
dask-cudf 24.8.2 requires pandas<2.2.3dev0,>=2.0, but you have pandas 2.2.3 which is incompatible.
dataproc-jupyter-plugin 0.1.79 requires pydantic~=1.10.0, but you have pydantic 2.8.2 which is incompatible.
distributed 2024.7.1 requires dask==2024.7.1, but you have dask 2024.8.1 which is incompatible.
gensim 4.3.3 requires scipy<1.14.0,>=1.7.0, but you have scipy 1.14.1 which is incompatible.
ibis-framework 7.1.0 requires pyarrow<15,>=2, but you have pyarrow 16.1.0 which is incompatible.
jupyterlab 4.2.4 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.
jupyterlab-lsp 5.1.0 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.
libpysal 4.9.2 requires packaging>=22, but you have packaging 21.3 which is incompatible.
libpysal 4.9.2 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.
momepy 0.7.2 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible.
osmnx 1.9.4 requires shapely<2.1,>=2.0, but you have shapely 1.8.5.post1 which is incompatible.
pointpats 2.5.0 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible.
rapids-dask-dependency 24.8.0a0 requires dask==2024.7.1, but you have dask 2024.8.1 which is incompatible.
rmm 24.8.2 requires cuda-python<12.0a0,>=11.7.1, but you have cuda-python 12.6.0 which is incompatible.
spaghetti 1.7.6 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.
spopt 0.6.1 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.
tensorflow 2.16.1 requires tensorboard<2.17,>=2.16, but you have tensorboard 2.17.1 which is incompatible.
xarray 2024.7.0 requires packaging>=23.1, but you have packaging 21.3 which is incompatible.
ydata-profiling 4.9.0 requires scipy<1.14,>=1.4.1, but you have scipy 1.14.1 which is incompatible.
Successfully installed DataProperty-1.0.1 Pillow-10.4.0 SpeechRecognition-3.10.0 aqlm-1.1.6 auto-gptq-0.7.1 autoawq-0.2.6 autoawq-kernels-0.0.7 bitsandbytes-0.43.3 chardet-5.2.0 coloredlogs-15.0.1 cramjam-2.8.3 datasets-3.0.0 diskcache-5.6.3 einops-0.8.0 exllamav2-0.1.8+cu121.torch2.2.2 fastapi-0.112.4 fastparquet-2024.5.0 ffmpy-0.4.0 flash-attn-2.6.1 flask_cloudflared-0.0.14 gekko-1.2.1 gradio-4.26.0 gradio-client-0.15.1 hqq-0.1.7.post3 humanfriendly-10.0 jiter-0.5.0 jsonlines-4.0.0 llama-cpp-python-0.2.89+cpuavx2 llama-cpp-python-cuda-0.2.89+cu121 llama-cpp-python-cuda-tensorcores-0.2.89+cu121 llvmlite-0.42.0 lm_eval-0.3.0 markdown-3.7 mbstrdecoder-1.1.3 numba-0.59.1 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.6.68 nvidia-nvtx-cu12-12.1.105 openai-1.47.0 optimum-1.17.1 pandas-2.2.2 pathvalidate-3.2.1 peft-0.12.0 portalocker-2.10.1 psutil-5.9.8 pycountry-24.6.1 pytablewriter-1.2.0 rich-13.8.1 rouge-1.0.1 rouge-score-0.1.2 ruff-0.6.6 sacrebleu-1.5.0 safetensors-0.4.5 scipy-1.14.0 semantic-version-2.10.0 sqlitedict-2.1.0 sse-starlette-1.6.5 tabledata-1.3.3 tcolorpy-0.1.6 tensorboard-2.17.1 tiktoken-0.7.0 tomlkit-0.12.0 torch-2.2.2 tqdm-4.66.5 tqdm-multiprocess-0.0.11 transformers-4.44.2 triton-2.2.0 typepy-1.3.2 wandb-0.18.1 websockets-11.0.3
Looking in indexes: https://download.pytorch.org/whl/cu121
Requirement already satisfied: torch==2.2.2 in /opt/conda/lib/python3.10/site-packages (2.2.2)
Collecting torch==2.2.2
  Downloading https://download.pytorch.org/whl/cu121/torch-2.2.2%2Bcu121-cp310-cp310-linux_x86_64.whl (757.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 757.3/757.3 MB 2.1 MB/s eta 0:00:0000:0100:01
Collecting torchvision==0.17.2
  Downloading https://download.pytorch.org/whl/cu121/torchvision-0.17.2%2Bcu121-cp310-cp310-linux_x86_64.whl (7.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.0/7.0 MB 1.8 MB/s eta 0:00:000:00:0100:01
Collecting torchaudio==2.2.2
  Downloading https://download.pytorch.org/whl/cu121/torchaudio-2.2.2%2Bcu121-cp310-cp310-linux_x86_64.whl (3.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 86.3 MB/s eta 0:00:00:00:01
Collecting xformers==0.0.26
  Downloading https://download.pytorch.org/whl/cu121/xformers-0.0.26-cp310-cp310-manylinux2014_x86_64.whl (222.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 222.6/222.6 MB 7.7 MB/s eta 0:00:0000:0100:01
Requirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (3.15.1)
Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (4.12.2)
Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (1.13.2)
Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (3.3)
Requirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (3.1.4)
Requirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (2024.6.1)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (8.9.2.26)
Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.3.1)
Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (11.0.2.54)
Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (10.3.2.106)
Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (11.4.5.107)
Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.0.106)
Requirement already satisfied: nvidia-nccl-cu12==2.19.3 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (2.19.3)
Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: triton==2.2.0 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (2.2.0)
Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from torchvision==0.17.2) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.10/site-packages (from torchvision==0.17.2) (10.4.0)
Requirement already satisfied: nvidia-nvjitlink-cu12 in /opt/conda/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.2.2) (12.6.68)
Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch==2.2.2) (2.1.5)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==2.2.2) (1.3.0)
WARNING: Error parsing requirements for pandas: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/pandas-2.2.2.dist-info/METADATA'
WARNING: Error parsing requirements for scipy: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/scipy-1.14.0.dist-info/METADATA'
Installing collected packages: torch, xformers, torchvision, torchaudio
  Attempting uninstall: torch
    Found existing installation: torch 2.2.2
    Uninstalling torch-2.2.2:
      Successfully uninstalled torch-2.2.2
  Attempting uninstall: torchvision
    Found existing installation: torchvision 0.19.0
    Uninstalling torchvision-0.19.0:
      Successfully uninstalled torchvision-0.19.0
  Attempting uninstall: torchaudio
    Found existing installation: torchaudio 2.4.0
    Uninstalling torchaudio-2.4.0:
      Successfully uninstalled torchaudio-2.4.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
easyocr 1.7.1 requires scipy, which is not installed.
fastai 2.7.16 requires pandas, which is not installed.
fastai 2.7.16 requires scipy, which is not installed.
stable-baselines3 2.1.0 requires pandas, which is not installed.
Successfully installed torch-2.2.2+cu121 torchaudio-2.2.2+cu121 torchvision-0.17.2+cu121 xformers-0.0.26

-----RUNNING SECTION-----

cmd = f"python server.py --api"
print(cmd)
!$cmd

----LOGS-----

python server.py --api
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /kaggle/working/text-generation-webui/server.py:40 in <module>               │
│                                                                              │
│    39 import modules.extensions as extensions_module                         │
│ ❱  40 from modules import (                                                  │
│    41     chat,                                                              │
│                                                                              │
│ /kaggle/working/text-generation-webui/modules/training.py:20 in <module>     │
│                                                                              │
│    19 import transformers                                                    │
│ ❱  20 from datasets import Dataset, load_dataset                             │
│    21 from peft import (                                                     │
│                                                                              │
│ /opt/conda/lib/python3.10/site-packages/datasets/__init__.py:17 in <module>  │
│                                                                              │
│   16                                                                         │
│ ❱ 17 from .arrow_dataset import Dataset                                      │
│   18 from .arrow_reader import ReadInstruction                               │
│                                                                              │
│ /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:75 in      │
│ <module>                                                                     │
│                                                                              │
│     74                                                                       │
│ ❱   75 from . import config                                                  │
│     76 from .arrow_reader import ArrowReader                                 │
│                                                                              │
│ /opt/conda/lib/python3.10/site-packages/datasets/config.py:38 in <module>    │
│                                                                              │
│    37 FSSPEC_VERSION = version.parse(importlib.metadata.version("fsspec"))   │
│ ❱  38 PANDAS_VERSION = version.parse(importlib.metadata.version("pandas"))   │
│    39 PYARROW_VERSION = version.parse(importlib.metadata.version("pyarrow")) │
│                                                                              │
│ /opt/conda/lib/python3.10/site-packages/packaging/version.py:49 in parse     │
│                                                                              │
│    48     try:                                                               │
│ ❱  49         return Version(version)                                        │
│    50     except InvalidVersion:                                             │
│                                                                              │
│ /opt/conda/lib/python3.10/site-packages/packaging/version.py:264 in __init__ │
│                                                                              │
│   263         # Validate the version and parse it into pieces                │
│ ❱ 264         match = self._regex.search(version)                            │
│   265         if not match:                                                  │
╰──────────────────────────────────────────────────────────────────────────────╯
TypeError: expected string or bytes-like object

System Info

Kaggle notebook with 2x T4 gpus
noiraku commented 1 month ago

Its time to move over other API's I guess, thank you anyways.