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UnicodeEncodeError: 'charmap' codec can't encode character '\U0001f648' in position 0: character maps to <undefined> about llm-finetuning-toolkit HOT 8 CLOSED

georgian-io avatar georgian-io commented on July 18, 2024
UnicodeEncodeError: 'charmap' codec can't encode character '\U0001f648' in position 0: character maps to

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Comments (8)

jeetendraabvv avatar jeetendraabvv commented on July 18, 2024

Getting the above problem during execution of the default config.yml. I am beginner pl help me resole this issues

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benjaminye avatar benjaminye commented on July 18, 2024

Hi @jeetendraabvv. I'm seeing Click to add a cell. in your output. Are you running this inside a notebook? tqdm might not be working as intended inside an interactive session such as jupyter.

If that's the case I would encourage you to run the CLI directly via command line. And hopefully that solves the problem. If not, let me know!

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jeetendraabvv avatar jeetendraabvv commented on July 18, 2024

Thank you @benjaminye . After your suggestion it worked but its generated new error. It is

RuntimeError: Failed to import transformers.integrations.bitsandbytes because of
the following error (look up to see its traceback):

    CUDA Setup failed despite GPU being available. Please run the following

command to get more information:

    python -m bitsandbytes

    Inspect the output of the command and see if you can locate CUDA

libraries. You might need to add them
to your LD_LIBRARY_PATH. If you suspect a bug, please take the
information from python -m bitsandbytes
and open an issue at: https://github.com/TimDettmers/bitsandbytes/issues
I tried the following command to resove the issues but not get success
PS C:\Users\Administrator> pip install bitsandbytes
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com/
Requirement already satisfied: bitsandbytes in c:\programdata\anaconda3\envs\llm_tkit\lib\site-packages (0.42.0)
Requirement already satisfied: scipy in c:\programdata\anaconda3\envs\llm_tkit\lib\site-packages (from bitsandbytes) (1.13.0)
Requirement already satisfied: numpy<2.3,>=1.22.4 in c:\programdata\anaconda3\envs\llm_tkit\lib\site-packages (from scipy->bitsandbytes) (1.26.4)
PS C:\Users\Administrator>
PS C:\Users\Administrator> python -m bitsandbytes
False

===================================BUG REPORT===================================
C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\cuda_setup\main.py:167: UserWarning: Welcome to bitsandbytes. For bug reports, please run

python -m bitsandbytes

warn(msg)
The following directories listed in your path were found to be non-existent: {WindowsPath('C')}
C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\cuda_setup\main.py:167: UserWarning: C:\ProgramData\anaconda3\envs\llm_tkit did not contain ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] as expected! Searching further paths...
warn(msg)
The following directories listed in your path were found to be non-existent: {WindowsPath('http'), WindowsPath('/localhost'), WindowsPath('8888')}
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths...
The following directories listed in your path were found to be non-existent: {WindowsPath('/usr/local/cuda/lib64')}
DEBUG: Possible options found for libcudart.so: set()
CUDA SETUP: PyTorch settings found: CUDA_VERSION=121, Highest Compute Capability: 8.6.
CUDA SETUP: To manually override the PyTorch CUDA version please see:https://github.com/TimDettmers/bitsandbytes/blob/main/how_to_use_nonpytorch_cuda.md
CUDA SETUP: Loading binary C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\libbitsandbytes_cuda121.so...
argument of type 'WindowsPath' is not iterable
CUDA SETUP: Problem: The main issue seems to be that the main CUDA runtime library was not detected.
CUDA SETUP: Solution 1: To solve the issue the libcudart.so location needs to be added to the LD_LIBRARY_PATH variable
CUDA SETUP: Solution 1a): Find the cuda runtime library via: find / -name libcudart.so 2>/dev/null
CUDA SETUP: Solution 1b): Once the library is found add it to the LD_LIBRARY_PATH: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:FOUND_PATH_FROM_1a
CUDA SETUP: Solution 1c): For a permanent solution add the export from 1b into your .bashrc file, located at ~/.bashrc
CUDA SETUP: Solution 2: If no library was found in step 1a) you need to install CUDA.
CUDA SETUP: Solution 2a): Download CUDA install script: wget https://raw.githubusercontent.com/TimDettmers/bitsandbytes/main/cuda_install.sh
CUDA SETUP: Solution 2b): Install desired CUDA version to desired location. The syntax is bash cuda_install.sh CUDA_VERSION PATH_TO_INSTALL_INTO.
CUDA SETUP: Solution 2b): For example, "bash cuda_install.sh 113 ~/local/" will download CUDA 11.3 and install into the folder ~/local
Traceback (most recent call last):
File "", line 189, in run_module_as_main
File "", line 148, in get_module_details
File "", line 112, in get_module_details
File "C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes_init.py", line 6, in
from . import cuda_setup, utils, research
File "C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\research_init.py", line 1, in
from . import nn
File "C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\research\nn_init.py", line 1, in
from .modules import LinearFP8Mixed, LinearFP8Global
File "C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\research\nn\modules.py", line 8, in
from bitsandbytes.optim import GlobalOptimManager
File "C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\optim_init_.py", line 6, in
from bitsandbytes.cextension import COMPILED_WITH_CUDA
File "C:\ProgramData\anaconda3\envs\llm_tkit\Lib\site-packages\bitsandbytes\cextension.py", line 20, in
raise RuntimeError('''
RuntimeError:
CUDA Setup failed despite GPU being available. Please run the following command to get more information:

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benjaminye avatar benjaminye commented on July 18, 2024

Can you send us the output after running transformers-cli env?

Do you know if your machine is set up to run cuda (good way to test is by running nvidia-smi)?
If not, please install by following the instructions here: https://developer.nvidia.com/cuda-12-1-0-download-archive.

In any case, I recommend using linux to run this, on Windows you can use WSL.

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jeetendraabvv avatar jeetendraabvv commented on July 18, 2024

PS C:\Users\Administrator\Pictures\lll_tk> transformers-cli env

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

  • transformers version: 4.40.2
  • Platform: Windows-10-10.0.20348-SP0
  • Python version: 3.11.9
  • Huggingface_hub version: 0.23.0
  • Safetensors version: 0.4.3
  • Accelerate version: 0.27.2
  • Accelerate config: not found
  • PyTorch version (GPU?): 2.3.0+cu121 (True)
  • Tensorflow version (GPU?): not installed (NA)
  • Flax version (CPU?/GPU?/TPU?): not installed (NA)
  • Jax version: not installed
  • JaxLib version: not installed
  • Using GPU in script?:
  • Using distributed or parallel set-up in script?:

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jeetendraabvv avatar jeetendraabvv commented on July 18, 2024

can we use the bitsandbytes >=43.0 with llm_toolkit

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