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torrential-attention-25m – AI Model by enfinity7B | AlphaNeural AI
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🌊 Torrential Attention — torrential
Results
Eval Loss
: 5.9273
Eval Perplexity
: 375.13
Parameters
: 15,414,800
Training Time
: 1544s
Architecture
Torrential Attention Mechanism with five pillars:
Sigmoid Flood Attention (unnormalized, pressure-driven)
Position-Decay Budgets (cascading energy)
Cross-Layer Flood Thresholds (dam-break phase transitions)
Cross-Head Spillover (tributary merging)
Differential Noise Cancellation
