crystalballAI/krystalmind-synapse

KrystalMind Synapse (PD-SSM)

Pharma-Domain State Space Model for real-time entity divergence detection.

Architecture

• 41.5M params: PD-SSM 38.4M + concept_projector 2.0M + heads 1.1M
• 6 SSM layers: Pharma-domain diagonal SSM with complex hidden state
• Graph-Guided SSM (GG-SSM): 31,494 additional params for neighbor-aware selector blending
• 3 semantic tiers: Tactical (L1-2), Relational (L3-4), Strategic (L5-6)
• STATE_DIM: 128 (complex: re + im per layer)

Files

• phase2_ggssm_routing.km — Production baked model with GG-SSM + routing head (58 MB)
• phase2_ggssm_routing.safetensors — SafeTensors format (156 MB)
• routing_head_best.pt — MLP routing classifier (1.5 MB)
• checkpoints/phase1_production.pt — Phase 1 best checkpoint, step 1500 (460 MB)

Training

• Phase 1: 35,700 sequences (34 entity types), avg FSA=93%, tier_corr=0.937
• Phase 2: GG-SSM graph messages, val_loss=0.66, 22/22 tests passing
• Latency: 1-2ms per entity scan