OSError: microsoft/bitnet-b1.58-2B-4T does not appear to have a file named configuration_bitnet.py.

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "microsoft/bitnet-b1.58-2B-4T"

# Load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    trust_remote_code=True
)

error:

[/usr/local/lib/python3.11/dist-packages/transformers/utils/hub.py](https://localhost:8080/#) in cached_files(path_or_repo_id, filenames, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, subfolder, repo_type, user_agent, _raise_exceptions_for_gated_repo, _raise_exceptions_for_missing_entries, _raise_exceptions_for_connection_errors, _commit_hash, **deprecated_kwargs)
    515             f"a file named {missing_entries[0]}" if len(missing_entries) == 1 else f"files named {(*missing_entries,)}"
    516         )
--> 517         raise EnvironmentError(
    518             f"{path_or_repo_id} does not appear to have {msg}. Checkout '[https://huggingface.co/{path_or_repo_id}/tree/{revision_}'](https://huggingface.co/%7Bpath_or_repo_id%7D/tree/%7Brevision_%7D')"
    519             "for available files."

OSError: microsoft/bitnet-b1.58-2B-4T does not appear to have a file named configuration_bitnet.py. Checkout 'https://huggingface.co/microsoft/bitnet-b1.58-2B-4T/tree/main'for available files.

full error message:

tokenizer_config.json: 100%
 50.8k/50.8k [00:00<00:00, 3.24MB/s]
tokenizer.json: 100%
 9.09M/9.09M [00:01<00:00, 6.95MB/s]
special_tokens_map.json: 100%
 73.0/73.0 [00:00<00:00, 6.26kB/s]
config.json: 100%
 844/844 [00:00<00:00, 60.5kB/s]
Could not locate the configuration_bitnet.py inside microsoft/bitnet-b1.58-2B-4T.
---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
[<ipython-input-1-1be1fd968872>](https://localhost:8080/#) in <cell line: 0>()
      6 # Load tokenizer and model
      7 tokenizer = AutoTokenizer.from_pretrained(model_id)
----> 8 model = AutoModelForCausalLM.from_pretrained(
      9     model_id,
     10     torch_dtype=torch.bfloat16,

5 frames
[/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py](https://localhost:8080/#) in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
    529                 _ = kwargs.pop("quantization_config")
    530 
--> 531             config, kwargs = AutoConfig.from_pretrained(
    532                 pretrained_model_name_or_path,
    533                 return_unused_kwargs=True,

[/usr/local/lib/python3.11/dist-packages/transformers/models/auto/configuration_auto.py](https://localhost:8080/#) in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
   1121         if has_remote_code and trust_remote_code:
   1122             class_ref = config_dict["auto_map"]["AutoConfig"]
-> 1123             config_class = get_class_from_dynamic_module(
   1124                 class_ref, pretrained_model_name_or_path, code_revision=code_revision, **kwargs
   1125             )

[/usr/local/lib/python3.11/dist-packages/transformers/dynamic_module_utils.py](https://localhost:8080/#) in get_class_from_dynamic_module(class_reference, pretrained_model_name_or_path, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, repo_type, code_revision, **kwargs)
    556         code_revision = revision
    557     # And lastly we get the class inside our newly created module
--> 558     final_module = get_cached_module_file(
    559         repo_id,
    560         module_file + ".py",

[/usr/local/lib/python3.11/dist-packages/transformers/dynamic_module_utils.py](https://localhost:8080/#) in get_cached_module_file(pretrained_model_name_or_path, module_file, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, repo_type, _commit_hash, **deprecated_kwargs)
    360     try:
    361         # Load from URL or cache if already cached
--> 362         resolved_module_file = cached_file(
    363             pretrained_model_name_or_path,
    364             module_file,

[/usr/local/lib/python3.11/dist-packages/transformers/utils/hub.py](https://localhost:8080/#) in cached_file(path_or_repo_id, filename, **kwargs)
    264     ```
    265     """
--> 266     file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
    267     file = file[0] if file is not None else file
    268     return file

[/usr/local/lib/python3.11/dist-packages/transformers/utils/hub.py](https://localhost:8080/#) in cached_files(path_or_repo_id, filenames, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, subfolder, repo_type, user_agent, _raise_exceptions_for_gated_repo, _raise_exceptions_for_missing_entries, _raise_exceptions_for_connection_errors, _commit_hash, **deprecated_kwargs)
    515             f"a file named {missing_entries[0]}" if len(missing_entries) == 1 else f"files named {(*missing_entries,)}"
    516         )
--> 517         raise EnvironmentError(
    518             f"{path_or_repo_id} does not appear to have {msg}. Checkout '[https://huggingface.co/{path_or_repo_id}/tree/{revision_}'](https://huggingface.co/%7Bpath_or_repo_id%7D/tree/%7Brevision_%7D')"
    519             "for available files."

OSError: microsoft/bitnet-b1.58-2B-4T does not appear to have a file named configuration_bitnet.py. Checkout 'https://huggingface.co/microsoft/bitnet-b1.58-2B-4T/tree/main'for available files.

Reproduce the failure with the shown AutoTokenizer and AutoModelForCausalLM.from_pretrained entry points, then compare the downloaded config.json with the referenced microsoft/bitnet-b1.58-2B-4T model files. Done means the example loads the tokenizer and model without the missing configuration_bitnet.py error.