transformers_typing.py:3: error: Unexpected keyword argument "vocab_size" for "LlamaConfig" [call-arg] Found 1 error in 1 file (checked 1 source file)

Fix Plan

The fix is to update the LlamaConfig initialization to match the expected arguments in transformers version 5.4.0.

• Check the documentation for LlamaConfig in transformers version 5.4.0 to find the correct arguments.
• Update the transformers_typing.py script to use the correct arguments.

Example code:

# transformers_typing.py
from transformers import LlamaConfig
llama_config = LlamaConfig(
    max_position_embeddings=512,
    vocab_size=32000,  # This might need to be removed or replaced
    hidden_size=4096,
    num_hidden_layers=24,
    num_attention_heads=64,
    # Add other required arguments here
)

Alternatively, you can try downgrading the transformers library to a version that supports the vocab_size argument, such as 4.24.0:

pip install transformers==4.24.0

Verification

Run the mypy type checker again to verify that the fix worked:

mypy transformers_typing.py

If the fix is correct, the type checker should not report any errors.

Extra Tips

• Always check the documentation for the library version you are using to ensure you are using the correct arguments.
• If you are using a newer version of a library, be prepared for potential breaking changes.