Enhance seko_talk_converter.py documentation and validation logic for conversion modes.

[GACLove]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @GACLove, 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 enhances the seko_talk_converter.py script by refining the 'r2v' conversion mode. This change allows users to convert a standalone R2V model to various precisions (FP32, BF16/FP8) without requiring a distillation model merge, improving flexibility and clarity in model conversion workflows. The modifications include updated documentation, usage examples, argument validation, and the core processing logic to support this distinct 'r2v' behavior.

Highlights

• Clarified 'r2v' Conversion Mode: The 'r2v' mode now explicitly means converting a single R2V model to different precisions (FP32, BF16/FP8) without merging with a distillation model, providing a more focused conversion option.
• Updated Documentation and Usage Examples: The script's introductory comments and example usage for the 'r2v' mode have been updated to accurately reflect the change in its behavior, specifically removing the --distill_model requirement from the example.
• Refined Argument Validation: The validate_args function now correctly enforces that --distill_model is not required for the 'r2v' mode, while --r2v_model remains the sole requirement for this specific mode. Validation for 'both' and 'merged' modes still requires both models.
• Modified Argument Help Messages: The help text for the --r2v_model and --distill_model arguments has been adjusted to accurately reflect their requirements across the different conversion modes, aligning with the new validation logic.
• Implemented 'r2v' Mode Logic: The main function now contains specific processing logic for the 'r2v' mode, which involves directly converting or copying the R2V model to merged.safetensors (FP32) without performing a LoRA merge with a distillation model.

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[gemini-code-assist]

Code Review

This pull request enhances the seko_talk_converter.py script by improving documentation and refining the logic for different conversion modes, particularly the r2v mode. The changes clarify the script's behavior and make the argument validation more precise. The updated usage examples and help texts are also valuable improvements.

I've found one area for improvement in the new logic for r2v mode to make it more robust by adding explicit file type validation. Overall, this is a good set of changes that improves the script's usability and correctness.

[gemini-code-assist]

The current logic implicitly assumes that any file for r2v_model that doesn't have a .pt or .pth extension is a .safetensors file. This is not robust and could lead to issues if an unsupported file format is provided. It's better to explicitly check for the .safetensors extension and raise an error for any other format. This will make the script more robust and provide clearer error messages to the user. Additionally, it's good practice to avoid copying a file onto itself if the source and destination paths are the same.

Suggested change

	if paths["r2v"].suffix in [".pt", ".pth"]:
	checkpoint_to_safetensors(paths["r2v"], merged_path, "STEP 1: Convert R2V model to safetensors (FP32)")
	else:
	shutil.copy(paths["r2v"], merged_path)
	logger.info(f" ✓ Copied R2V model to: {merged_path}")
	if paths["r2v"].suffix in [".pt", ".pth"]:
	checkpoint_to_safetensors(paths["r2v"], merged_path, "STEP 1: Convert R2V model to safetensors (FP32)")
	elif paths["r2v"].suffix == ".safetensors":
	if paths["r2v"] != merged_path:
	shutil.copy(paths["r2v"], merged_path)
	logger.info(f" ✓ Copied R2V model to: {merged_path}")
	else:
	logger.info(f" ✓ R2V model is already at the target location: {merged_path}")
	else:
	raise ValueError(f"Unsupported file format for r2v_model: {paths['r2v'].suffix}. Must be .pt, .pth, or .safetensors")