[feat]: kt-kernel: Add resume arg to CPU weight conversion

[DocShotgun]

What does this PR do?

Adds an arg to scripts/convert_cpu_weights.py named --resume-layer to allow resuming conversion on a specific layer - useful if conversion fails mid-run due to running out of memory despite enabling --no-merge-safetensor.

Before submitting

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• [x] Did you write any new necessary tests? N/A

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Summary of Changes

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This pull request enhances the CPU weight conversion script by adding a resume functionality. This improvement allows the conversion process to be restarted from a specific layer, significantly increasing the robustness and user-friendliness of the script, especially when dealing with large models or resource constraints that might cause interruptions.

Highlights

• New Feature: Resume Conversion: Introduced a new command-line argument --resume-layer to scripts/convert_cpu_weights.py, enabling users to restart the weight conversion process from a specified layer index.
• Improved Robustness: This feature is particularly useful for handling mid-run failures, such as out-of-memory errors during large model conversions, allowing for efficient recovery without re-processing already completed layers.

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[KMSorSMS]

#1627

[DocShotgun]

I think it's probably better to just remove the print statements for each skipped layer, since the resume_layer is already printed at the start if it's relevant. Adding another option for whether or not to print the skipped layers seems a bit unnecessary IMO.