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@danielhanchen danielhanchen merged commit 888f79f into unslothai:main Dec 6, 2025
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Summary of Changes

Hello @danielhanchen, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces minor but impactful refinements to the VLLM LoRA integration. It standardizes a parameter name for LoRA directory paths, enhancing code readability, and increases flexibility in the initialization process by making the embedding_padding_modules argument optional. These changes contribute to a more robust and user-friendly LoRA management system.

Highlights

  • LoRA Parameter Renaming: The lora_path keyword argument has been renamed to lora_dir when loading LoRA models from local checkpoints in the _load_adapter function for improved clarity and consistency.
  • Optional Embedding Padding: The embedding_padding_modules parameter in the new_init function has been made optional, now defaulting to an empty list if not explicitly provided.
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Code Review

This pull request updates the vllm_lora_worker_manager by renaming a parameter to align with vLLM and making another parameter optional. My review identifies a potential issue with the use of a mutable default argument, which is a common anti-pattern in Python, and I've provided a recommendation to improve the code's robustness.

device: torch.device,
embedding_modules: dict[str, str],
embedding_padding_modules: list[str],
embedding_padding_modules: Optional[list[str]] = [],
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medium

Using a mutable default argument like [] is a common pitfall in Python. If this list were to be modified, it would be mutated for all subsequent calls to this function that rely on the default value. It is safer to use None as the default value and create a new list within the function body.

Recommendation:

def new_init(
    # ... other arguments
    embedding_padding_modules: Optional[list[str]] = None,
    # ... other arguments
):
    if embedding_padding_modules is None:
        embedding_padding_modules = []

    old_init(
        # ...
        embedding_padding_modules=embedding_padding_modules,
        # ...
    )

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