FINAL_PROGRESS.md

GGUF Timeout Fix - Complete Implementation

✅ All Steps Completed:

1. Increased GGUF Timeout

• Changed from 120s to 300s for Hugging Face Spaces
• Maintained 120s for local development
• Made timeout configurable via GGUF_GENERATION_TIMEOUT environment variable

2. Enhanced Error Handling

• Added comprehensive timeout handling in routes.py
• Implemented fallback mechanisms when GGUF model fails
• Added better logging for debugging timeout issues
• Created robust fallback pipeline for graceful degradation

3. Optimized GGUF Model Parameters

• Added CPU-specific optimizations for Hugging Face Spaces:
  • use_mlock=False for better container compatibility
  • vocab_only=False for full model loading
  • n_threads_batch=n_threads for consistent threading
  • mmap=True for memory mapping optimizations
  • Cache type optimizations for better performance

4. Added Progress Logging

• Enhanced logging throughout the generation process
• Added detailed timing information for each generation loop
• Added validation checks for summary completeness
• Improved debugging capabilities

🔧 Files Modified:

ai_med_extract/utils/model_loader_gguf.py

• Updated timeout handling with environment variable support
• Optimized model initialization parameters for Spaces
• Enhanced logging throughout the generation process
• Added detailed progress monitoring

ai_med_extract/api/routes.py

• Added comprehensive error handling for GGUF timeouts
• Implemented fallback mechanisms when GGUF fails
• Improved logging and error responses
• Added graceful degradation to template-based fallback

⚙️ Configuration Options:

Environment Variables:

• GGUF_GENERATION_TIMEOUT: Custom timeout in seconds (default: 300 for Spaces, 120 for local)
• GGUF_N_THREADS: Number of CPU threads to use
• GGUF_N_BATCH: Batch size for processing

Performance Settings:

• Hugging Face Spaces: Ultra-conservative settings (1 thread, 16 batch, 512 context)
• Local Development: Normal settings (2 threads, 32 batch, 1024 context)

🚀 Ready for Testing:

The implementation is now complete and ready for testing. The changes include:

1. Increased timeout from 120s to 300s for Hugging Face Spaces
2. Configurable timeout via environment variable
3. Better error handling with fallback mechanisms
4. Optimized parameters for CPU performance on Spaces
5. Enhanced logging for debugging and monitoring

📋 Testing Checklist:

• Test GGUF model with Phi-3 model on Spaces
• Verify timeout is sufficient for generation
• Test fallback mechanisms when GGUF fails
• Monitor memory usage and performance
• Verify logging provides useful debugging information

The implementation should now handle the GGUF timeout issues effectively while providing graceful degradation when the model fails.