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sparseflow-chat-neuro-model – AI Model by amewebstudio | AlphaNeural AI
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sparseflow-chat-neuro-model
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SparseFlow Neural v12 (Dynamic)
🧠 Dynamic Neural Diversity
7 types with active
bidirectional
cycle during training:
STEM: target 10% (maintained by active reversion)
EXCITATORY: 35% (main carriers)
INHIBITORY: 10% (capped at 15%)
MEMORY: 15%
PATTERN: 12%
RELAY: 10%
MODULATORY: 8% (capped at 12%)
Dynamic Cycle
Every 10 forward calls:
Reversion
: low-activation + mature specialized → STEM
Differentiation
: STEM → deficit-type (activation-biased)
Metrics
Metric
Value
Params
79,198,470
PPL
7.80
Attn Sparse
87.5%
FFN Sparse
75.0%
Diff events
0
Revert events
0
By Logo — Ame Web Studio
