Cristian Cezar Moisés
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ebbbf84d35
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Update generate.py
Distributed Training Enhancements:
Proper NCCL/Gloo backend selection
Distributed timeout handling
Rank-aware input broadcasting
Graceful process group cleanup
Error Handling & Validation
Comprehensive path validation
Config schema validation
Tokenization error handling
Batch processing safeguards
CUDA OOM fallback handling
Generation Improvements:
Top-k sampling support
Repetition penalty
Dynamic sequence length management
Progress tracking with tqdm
Sequence truncation warnings
Performance Optimizations:
Device-aware tensor placement
Batch tokenization
Memory-efficient generation loop
Model parallelism support
User Experience:
Interactive mode enhancements:
Command history
Input validation
Graceful exit handling
Batch processing:
Progress tracking
Error resilience
Clean output formatting
Code Quality:
Type hints throughout
Configurable constants
Modular architecture
Docstrings with examples
Logging integration
Safety Features:
Tokenizer trust_remote_code handling
Config validation
Input sanitization
Resource cleanup guarantees
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2025-01-27 23:16:21 -03:00 |
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