System Info
Windows 10, Python 3.9.4, GPU Geforce RTX 2060
Reproduction
import os
import torch
General packages
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from textwrap import fill
from IPython.display import Markdown, display # for formating Python display folowing markdown language
import warnings
warnings.filterwarnings('ignore') # avoid warning messages importing packages
Mistral and LangChain packages (prompt engineering)
import torch
from langchain import PromptTemplate, HuggingFacePipeline
from langchain.output_parsers import ResponseSchema, StructuredOutputParser
from transformers import BitsAndBytesConfig, AutoModelForCausalLM, AutoTokenizer, GenerationConfig, pipeline
Model version of Mistral
MODEL_NAME = "mistralai/Mistral-7B-Instruct-v0.1"
quantization_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_compute_dtype=torch.float16,
bnb_4bit_quant_type="nf4",
bnb_4bit_use_double_quant=True,
)
################### BELOW CELL ERRORS OUT #######################
Initialization of a tokenizer for the Mistral-7b model,
necessary to preprocess text data for input
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, use_fast=True)
tokenizer.pad_token = tokenizer.eos_token
Initialization of the pre-trained language Mistral-7b
model = AutoModelForCausalLM.from_pretrained(
MODEL_NAME, torch_dtype=torch.float16,
trust_remote_code=True,
device_map="auto",
quantization_config=quantization_config
)
################### ERROR OUTPUT #############################
False
===================================BUG REPORT===================================
The following directories listed in your path were found to be non-existent: {WindowsPath('/matplotlib_inline.backend_inline'), WindowsPath('module')}
The following directories listed in your path were found to be non-existent: {WindowsPath('vs/workbench/api/node/extensionHostProcess')}
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: 7.5.
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 f:\0.MilindPython\Mistral.venv\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
f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:167: UserWarning: Welcome to bitsandbytes. For bug reports, please run
python -m bitsandbytes
warn(msg)
Traceback (most recent call last):
File "C:\Python39\lib\runpy.py", line 188, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, Error)
File "C:\Python39\lib\runpy.py", line 147, in get_module_details
return get_module_details(pkg_main_name, error)
File "C:\Python39\lib\runpy.py", line 111, in get_module_details
import(pkg_name)
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes_init.py", line 6, in
from . import cuda_setup, utils, research
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\research_init.py", line 1, in
from . import nn
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\research\nn_init.py", line 1, in
from .modules import LinearFP8Mixed, LinearFP8Global
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\research\nn\modules.py", line 8, in
from bitsandbytes.optim import GlobalOptimManager
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\optim_init.py", line 6, in
from bitsandbytes.cextension import COMPILED_WITH_CUDA
File "f:\0.MilindPython\Mistral.venv\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:
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
python -m bitsandbytes RETURNS THE SAME ABOVE OUTPUT
Expected behavior
Tokenizer initialized
System Info
Windows 10, Python 3.9.4, GPU Geforce RTX 2060
Reproduction
import os
import torch
General packages
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from textwrap import fill
from IPython.display import Markdown, display # for formating Python display folowing markdown language
import warnings
warnings.filterwarnings('ignore') # avoid warning messages importing packages
Mistral and LangChain packages (prompt engineering)
import torch
from langchain import PromptTemplate, HuggingFacePipeline
from langchain.output_parsers import ResponseSchema, StructuredOutputParser
from transformers import BitsAndBytesConfig, AutoModelForCausalLM, AutoTokenizer, GenerationConfig, pipeline
Model version of Mistral
MODEL_NAME = "mistralai/Mistral-7B-Instruct-v0.1"
quantization_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_compute_dtype=torch.float16,
bnb_4bit_quant_type="nf4",
bnb_4bit_use_double_quant=True,
)
################### BELOW CELL ERRORS OUT #######################
Initialization of a tokenizer for the Mistral-7b model,
necessary to preprocess text data for input
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, use_fast=True)
tokenizer.pad_token = tokenizer.eos_token
Initialization of the pre-trained language Mistral-7b
model = AutoModelForCausalLM.from_pretrained(
MODEL_NAME, torch_dtype=torch.float16,
trust_remote_code=True,
device_map="auto",
quantization_config=quantization_config
)
################### ERROR OUTPUT #############################
False
===================================BUG REPORT===================================
The following directories listed in your path were found to be non-existent: {WindowsPath('/matplotlib_inline.backend_inline'), WindowsPath('module')}
The following directories listed in your path were found to be non-existent: {WindowsPath('vs/workbench/api/node/extensionHostProcess')}
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: 7.5.
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 f:\0.MilindPython\Mistral.venv\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
f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:167: UserWarning: Welcome to bitsandbytes. For bug reports, please run
python -m bitsandbytes
warn(msg)
Traceback (most recent call last):
File "C:\Python39\lib\runpy.py", line 188, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, Error)
File "C:\Python39\lib\runpy.py", line 147, in get_module_details
return get_module_details(pkg_main_name, error)
File "C:\Python39\lib\runpy.py", line 111, in get_module_details
import(pkg_name)
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes_init.py", line 6, in
from . import cuda_setup, utils, research
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\research_init.py", line 1, in
from . import nn
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\research\nn_init.py", line 1, in
from .modules import LinearFP8Mixed, LinearFP8Global
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\research\nn\modules.py", line 8, in
from bitsandbytes.optim import GlobalOptimManager
File "f:\0.MilindPython\Mistral.venv\lib\site-packages\bitsandbytes\optim_init.py", line 6, in
from bitsandbytes.cextension import COMPILED_WITH_CUDA
File "f:\0.MilindPython\Mistral.venv\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:
python -m bitsandbytes RETURNS THE SAME ABOVE OUTPUT
Expected behavior
Tokenizer initialized