ProKope-AI/ProKope-421M
Text Classification • 0.4B • Updated • 23 • 1
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High-Speed System 1 Decision Intelligence
Replacing slow, expensive autoregressive cloud generation with single-forward-pass deterministic decision models. Sub-25ms latency, zero output tokens, and 71.40% benchmark accuracy.
Conceived & Engineered by Creator: Alan Canto
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Framework Architect: Wesley Foreman
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Air-Gapped Sovereign Deployment
71.40%
Benchmark Accuracy
<25 ms
Inference Latency
0 Tokens
Output Overhead
83x
Compute Efficiency vs 35B
Live System 1 Decision Simulator
Experience zero-token non-autoregressive decision classification in real time.
⚡ Select Production Scenario
Choice (Categorical Routing)
Softmax Dist
Infrastructure Pressure
Calibrated Confidence: 94.2%
Noul (Boolean Verification)
True / False
YES (Escalate On-Call)
Threshold Probability: 0.987
Score (Severity Rating)
Continuous [0, 1]
0.880 — Critical
Calibrated Continuous Score
Edge Robotics & Closed-Loop Control
Real-Time Highway Hazard Evasion Simulator
Witness why 20ms System 1 decision models can pilot high-speed autonomous agents where cloud LLMs crash.
🏎️ Highway Collision Avoidance Vector
Click any lane on the road to manually spawn hazard roadblocks.
Decision Latency
<21.4 ms
Choice (Maneuver)
Lane 2 (Cruising)
Noul (Collision Hazard)
CLEAR (0.021)
Score (Throttle / Speed)
0.850 (65 MPH)
LocalLLaMA Typed-Decisions Benchmark
Empirical performance across 400 test cases and 2,000 calibrated decisions.
⇄ Swipe table horizontally to view full metrics
| Model Architecture | Parameters | Mode | Accuracy ↑ | Brier Score ↓ | p50 Latency |
|---|---|---|---|---|---|
| Featherless Simple Jev (Cloud) | 35,000M (35B) | General (Zero-Shot) | 71.60% | 0.110 | ~1,200 ms |
| 🥇 ProKope-421M | 421M (0.42B) | Specialist (Sovereign) | 71.40% | 0.071 | <25 ms |
| prima-ratio + 12B (Cloud) | 12,000M (12B) | General (Zero-Shot) | 70.20% | 0.125 | ~700 ms |
| oscar-1-400m | 400M (0.40B) | Specialist | 70.00% | 0.062 | ~35 ms |
| Bekko System One v0 (Benchmark Baseline) | 400M (0.40B) | Specialist | 66.80% | 0.113 | 808 ms |
| ModernBERT-base (Benchmark Baseline) | 149M (0.15B) | Specialist | 64.60% | 0.119 | 349 ms |
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