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bitsandbytes-foundation / bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.
https://huggingface.co/docs/bitsandbytes/main/en/index
MIT License
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python -m bitsandbytes · #1423

Open gunnusravani opened 4 days ago

gunnusravani commented 4 days ago

System Info

Thu Nov 21 17:46:23 2024
+---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | 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 NVIDIA A100 80GB PCIe Off | 00000000:17:00.0 Off | 0 | | N/A 66C P0 80W / 300W | 11726MiB / 81920MiB | 91% Default | | | | Disabled | +-----------------------------------------+----------------------+----------------------+ | 1 NVIDIA A100 80GB PCIe Off | 00000000:31:00.0 Off | 0 | | N/A 57C P0 345W / 300W | 26308MiB / 81920MiB | 97% Default | | | | Disabled | +-----------------------------------------+----------------------+----------------------+ | 2 NVIDIA A100 80GB PCIe Off | 00000000:4B:00.0 Off | 0 | | N/A 56C P0 88W / 300W | 5252MiB / 81920MiB | 19% Default | | | | Disabled | +-----------------------------------------+----------------------+----------------------+ | 3 NVIDIA A100 80GB PCIe Off | 00000000:CA:00.0 Off | 0 | | N/A 32C P0 61W / 300W | 47449MiB / 81920MiB | 0% Default | | | | Disabled | +-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | 0 N/A N/A 53845 C /usr/bin/python 414MiB | | 0 N/A N/A 78243 C /usr/bin/python 10732MiB | | 0 N/A N/A 93569 C ...niconda3/envs/mixtralkit/bin/python 554MiB | | 1 N/A N/A 46294 C /usr/bin/python 25738MiB | | 1 N/A N/A 93569 C ...niconda3/envs/mixtralkit/bin/python 552MiB | | 2 N/A N/A 53845 C /usr/bin/python 4734MiB | | 2 N/A N/A 93569 C ...niconda3/envs/mixtralkit/bin/python 552MiB | | 3 N/A N/A 93569 C ...niconda3/envs/mixtralkit/bin/python 47436MiB | +---------------------------------------------------------------------------------------+

Reproduction

False

===================================BUG REPORT=================================== /data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:167: UserWarning: Welcome to bitsandbytes. For bug reports, please run

python -m bitsandbytes

warn(msg)

/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:167: UserWarning: /data/nlp/sravani_g/miniconda3/envs/mixtralkit 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: {PosixPath('//matplotlib_inline.backend_inline'), PosixPath('module')} CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths... /data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:167: UserWarning: Found duplicate ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] files: {PosixPath('/usr/local/cuda/lib64/libcudart.so'), PosixPath('/usr/local/cuda/lib64/libcudart.so.11.0')}.. We select the PyTorch default libcudart.so, which is {torch.version.cuda},but this might missmatch with the CUDA version that is needed for bitsandbytes.To override this behavior set the BNB_CUDA_VERSION=<version string, e.g. 122> environmental variableFor example, if you want to use the CUDA version 122BNB_CUDA_VERSION=122 python ...OR set the environmental variable in your .bashrc: export BNB_CUDA_VERSION=122In the case of a manual override, make sure you set the LD_LIBRARY_PATH, e.g.export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.2 warn(msg) DEBUG: Possible options found for libcudart.so: {PosixPath('/usr/local/cuda/lib64/libcudart.so'), PosixPath('/usr/local/cuda/lib64/libcudart.so.11.0')} CUDA SETUP: PyTorch settings found: CUDA_VERSION=124, Highest Compute Capability: 8.0. 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: Required library version not found: libbitsandbytes_cuda124.so. Maybe you need to compile it from source? CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...

================================================ERROR===================================== CUDA SETUP: CUDA detection failed! Possible reasons:

  1. You need to manually override the PyTorch CUDA version. Please see: "https://github.com/TimDettmers/bitsandbytes/blob/main/how_to_use_nonpytorch_cuda.md
  2. CUDA driver not installed
  3. CUDA not installed
  4. You have multiple conflicting CUDA libraries

  5. Required library not pre-compiled for this bitsandbytes release! CUDA SETUP: If you compiled from source, try again with make CUDA_VERSION=DETECTED_CUDA_VERSION for example, make CUDA_VERSION=113. CUDA SETUP: The CUDA version for the compile might depend on your conda install. Inspect CUDA version via conda list | grep cuda.

CUDA SETUP: Something unexpected happened. Please compile from source: git clone https://github.com/TimDettmers/bitsandbytes.git cd bitsandbytes CUDA_VERSION=124 python setup.py install CUDA SETUP: Setup Failed! Traceback (most recent call last): File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/runpy.py", line 187, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/runpy.py", line 146, in _get_module_details return _get_module_details(pkg_main_name, error) File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/runpy.py", line 110, in _get_module_details import(pkg_name) File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/init.py", line 6, in from . import cuda_setup, utils, research File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/research/init.py", line 1, in from . import nn File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/research/nn/init.py", line 1, in from .modules import LinearFP8Mixed, LinearFP8Global File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/research/nn/modules.py", line 8, in from bitsandbytes.optim import GlobalOptimManager File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/site-packages/bitsandbytes/optim/init.py", line 6, in from bitsandbytes.cextension import COMPILED_WITH_CUDA File "/data/nlp/sravani_g/miniconda3/envs/mixtralkit/lib/python3.10/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

Expected behavior

I am finetuning the llama 2 7b model then I ran into this error after executing the following function from peft import LoraConfig, get_peft_model

config = LoraConfig( r=8, lora_alpha=16, target_modules=[ "q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj", "lm_head", ], bias="none", lora_dropout=0.05, # Conventional task_type="CAUSAL_LM", )

model = get_peft_model(model, config) print_trainable_parameters(model)