from_pretrained fails to save weights.py and layers.py into cache, therefore fails to find them in cache

[openyk]

• weights.py and layers.py confirmed exist in local model folder, originally saved via cloning (attempt1) and via save_pretrained (attempt2)
• attempting to set custom cache dir as argument or by TRANSFORMERS_CACHE ENV... both ways no effect
• cache folder and other files are saved successfully, so not a permissions issue

System Info

• transformers version: 4.48.0
• Platform: Linux-6.8.0-51-generic-x86_64-with-glibc2.39 (ubuntu 24.04.1)
• Python version: 3.12.3
• Huggingface_hub version: 0.27.1
• Safetensors version: 0.5.2
• Accelerate version: not installed
• Accelerate config: not found
• PyTorch version (GPU?): 2.5.1+cu124 (False)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using distributed or parallel set-up in script?: no

Who can help?

No response

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("/path/to/model", trust_remote_code=True, local_files_only=True)

Expected behavior

cache is generated with all relevant model files saved successfully, then loaded from cache for loading the model.

[Knight7561]

Could you update the reproduction instructions with the cache setup too and for which model did you face this ? (if this was model specific) , But, yeah if you update the reproducing steps. That could help the community to come up with a uniformed approach