refactor loading weights from remote instance coding format

[amysaq2023]

Modify coding format for loading weights from remote instance based on comments: #8215 (comment)

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[gemini-code-assist]

Summary of Changes

Hello @amysaq2023, 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 streamlines the configuration management for loading model weights from remote instances. It achieves this by centralizing relevant parameters, such as tp_rank and remote instance details, into the LoadConfig class. This refactoring improves code clarity and maintainability by ensuring that all model loading-specific configurations are consistently handled by a dedicated configuration object, rather than being spread across different classes.

Highlights

• Configuration Refactoring: Moved remote instance weight loading parameters, such as tp_rank and network details, from ModelConfig to LoadConfig for improved logical grouping and separation of concerns.
• Codebase Updates: Modified several files including model_config.py, tp_worker.py, model_runner.py, and loader.py to reflect the new location of these configuration parameters, ensuring all references are updated.
• File Renaming and Module Organization: Renamed remote_instance_weight_loader_utils.py to model_loader/remote_instance_weight_loader_utils.py, relocating it into the model_loader submodule for better module structure and clarity.

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Code Review

This pull request refactors the configuration for loading weights from a remote instance by moving related parameters from ModelConfig to LoadConfig. The changes are logical and improve code organization. However, I've found a critical issue with the new default values in LoadConfig that will cause runtime errors. Please see my comment for the fix.