Key Changes

Feature Enhancements

1. Train L1 Exposure Functionality (#319)
   • Added frontend training progress components
   • Implemented new exposure model training components
   • Backend support with L1_exposure_manager
   • Optimized training progress tracking system
2. Meta Exposure Features (#313)
   • Updated TrainingTags support
   • Enhanced upload client functionality
   • Optimized upload routes

Bug Fixes

1. Model-related Fixes
   • Optimized model tokenizer implementation, removed redundant code
   • Fixed errors during graphrag process (#347)
   • Resolved model deployment issues in CUDA + Windows environments
2. System Optimizations
   • Fixed logging issues (#318)
   • Resolved use_previous_params functionality problems (#316)
   • Improved data processing logic (#346)
3. Code Optimization
   • Removed redundant code in route_l2.py (#332), reducing approximately 550 lines of code

Technical Details

• 11 commits included
• 15 files modified
• Approximately 492 lines added, 631 lines removed

Testing Status

• Verified on both Windows and Linux environments
• CUDA environment deployment testing passed
• Training process integrity tests passed

Notes

This merge includes a series of important features and critical fixes. It is recommended that team members conduct comprehensive testing after merging, especially for model training and deployment-related functionality.