===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
dlopen(/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so, 0x0006): tried: '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file), '/System/Volumes/Preboot/Cryptexes/OS/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (no such file), '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file)
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
dlopen(/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so, 0x0006): tried: '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file), '/System/Volumes/Preboot/Cryptexes/OS/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (no such file), '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file)
/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable.
warn("The installed version of bitsandbytes was compiled without GPU support. "
Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision.
Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
Traceback (most recent call last):
File "finetune.py", line 118, in
main()
File "finetune.py", line 77, in main
model = AutoModel.from_pretrained(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 462, in from_pretrained
model_class = get_class_from_dynamic_module(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 388, in get_class_from_dynamic_module
final_module = get_cached_module_file(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 299, in get_cached_module_file
get_cached_module_file(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 269, in get_cached_module_file
modules_needed = check_imports(resolved_module_file)
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 134, in check_imports
importlib.import_module(imp)
File "/Users/jindada/miniconda3/lib/python3.8/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1014, in _gcd_import
File "", line 991, in _find_and_load
File "", line 975, in _find_and_load_unlocked
File "", line 671, in _load_unlocked
File "", line 843, in exec_module
File "", line 219, in _call_with_frames_removed
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/init.py", line 1, in
from . import library
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/library/init.py", line 1, in
from . import nvrtc
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/library/nvrtc.py", line 5, in
nvrtc = Lib("nvrtc")
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/library/base.py", line 59, in init
raise RuntimeError("Unknown platform: %s" % sys.platform)
RuntimeError: Unknown platform: darwin
===================================BUG REPORT=================================== Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source? CUDA SETUP: Defaulting to libbitsandbytes_cpu.so... dlopen(/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so, 0x0006): tried: '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file), '/System/Volumes/Preboot/Cryptexes/OS/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (no such file), '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file) CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source? CUDA SETUP: Defaulting to libbitsandbytes_cpu.so... dlopen(/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so, 0x0006): tried: '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file), '/System/Volumes/Preboot/Cryptexes/OS/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (no such file), '/Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file) /Users/jindada/miniconda3/lib/python3.8/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable. warn("The installed version of bitsandbytes was compiled without GPU support. " Explicitly passing a
main()
File "finetune.py", line 77, in main
model = AutoModel.from_pretrained(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 462, in from_pretrained
model_class = get_class_from_dynamic_module(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 388, in get_class_from_dynamic_module
final_module = get_cached_module_file(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 299, in get_cached_module_file
get_cached_module_file(
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 269, in get_cached_module_file
modules_needed = check_imports(resolved_module_file)
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/transformers/dynamic_module_utils.py", line 134, in check_imports
importlib.import_module(imp)
File "/Users/jindada/miniconda3/lib/python3.8/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1014, in _gcd_import
File "", line 991, in _find_and_load
File "", line 975, in _find_and_load_unlocked
File "", line 671, in _load_unlocked
File "", line 843, in exec_module
File "", line 219, in _call_with_frames_removed
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/init.py", line 1, in
from . import library
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/library/init.py", line 1, in
from . import nvrtc
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/library/nvrtc.py", line 5, in
nvrtc = Lib("nvrtc")
File "/Users/jindada/miniconda3/lib/python3.8/site-packages/cpm_kernels/library/base.py", line 59, in init
raise RuntimeError("Unknown platform: %s" % sys.platform)
RuntimeError: Unknown platform: darwin
revision
is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing arevision
is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing arevision
is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Traceback (most recent call last): File "finetune.py", line 118, inRuntimeError: Unknown platform: darwin的平台问题要如何解决