v0.9.0 — Add Model Skipping

[0.9.0] add model skipping

Added

• Model Skip System: New models_skip.txt file for tracking failed or problematic models
• Automatic movement of failed models from models.txt to models_skip.txt
• Prevents re-testing of consistently failing models
• Improved batch execution efficiency by avoiding known problematic models
• Automatic Model Management: Enhanced benchmark runner with smart model handling
• move_model_to_skip() function for automated model organization
• Both parallel and sequential execution modes now automatically skip failed models
• Clear feedback when models are moved to skip list during execution

Changed

• Model List Optimization: Streamlined models.txt from 29 to 10 active models
• Removed 19 underperforming or consistently failing models
• Focused on higher-quality models for more reliable benchmarking
• Moved removed models to new models_skip.txt for reference
• Leaderboard Expansion: Added 7 new model results to leaderboard
• New entries include google/gemini-2.0-flash-exp, nvidia/nemotron-nano-9b-v2, and others
• Updated rankings reflect latest benchmark performance
• String Formatting: Fixed escape character issues throughout run_benchmark.py
• Corrected \\n to \n for proper newline handling
• Improved regex patterns for better model detection and time extraction
• Enhanced string formatting consistency across the codebase

Improved

• Execution Efficiency: Faster batch processing by avoiding known failing models
• Error Handling: Better feedback when models are automatically moved to skip list
• Code Quality: Cleaner string handling and more robust regex patterns
• Leaderboard Accuracy: More reliable rankings with focus on consistently performing models