ZTC Models: JEV ecosystems
Answer verification from one forward pass, zero generated tokens. Measured against JEV and 10 others on 2,018 identical items.
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Image-Text-to-Text • 180B • Updated • 741 • 138 -
FINAL-Bench/Darwin-397B-ZTC
Text Generation • 404B • Updated • 253 • 41 -
FINAL-Bench/Darwin-27B-RSI
Text Generation • 27B • Updated • 431 • 50 -
FINAL-Bench/Darwin-27B-RSI-GGUF
Text Generation • 27B • Updated • 255 • 31 -
FINAL-Bench/ZTC-Judge-27B
Text Classification • 28B • Updated • 99 • 50
FINAL-Bench/ZTC-Judge-9B
Text Classification • 10B • Updated • 115 • 39Note Size ladder rung. Leaderboard AUC 0.6506 — above the surface baseline overall, and clearly so on professional exams.
FINAL-Bench/ZTC-Judge-4B
Text Classification • 5B • Updated • 117 • 41Note Size ladder rung. Leaderboard AUC 0.6360 — above the surface baseline overall, and clearly so on professional exams.
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Gate Arcade
🚦59Plain vs JEV vs ZTC: a gate decides execute or hold
Typed Decision Leaderboard
🎯45JEV & open-Jev answer verifiers, one identical test set
Note Independent leaderboard — 13 answer verifiers on 2,018 identical items. ZTC (397B) 0.7364 leads; the gap to second place is not statistically distinguishable.
Verifier Playground
🧪39Run ZTC, JEV and Laya on the same question and answer
Note Paste a question and an answer; ZTC, JEV and Laya score it side by side on the same input.
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FINAL-Bench/Darwin-180B-RSI-R3
Image-Text-to-Text • 180B • Updated • 841 • 43 -
FINAL-Bench/POCKET-Darwin-180B-GGUF
Text Generation • 177B • Updated • 524k • 71 -
FINAL-Bench/Darwin-27B-ZTC
Text Classification • 26B • Updated • 326 • 40 -
FINAL-Bench/Darwin-27B-ZTC-v2
Text Classification • 26B • Updated • 73 • 37 -
ONGRID
🌌37Ontology·Graph·Decision engine with zero-token ZTC verify
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FINAL-Bench/Darwin-35B-ZTC-Vision
Image Classification • 35B • Updated • 12.8k • 38 -
Darwin-35B-ZTC-Vision
🧬37Calibrated yes/no, choice and score answers on images