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1605.6
TFLOPS
ginipick
ginipick
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FINAL-Bench/ZTC-Judge-9B
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FINAL-Bench/ZTC-Judge-4B
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Ask a language model how confident it is and you get an AUC of 0.5000. Exactly a coin flip. We measured it across 2,018 items. https://huggingface.co/spaces/FINAL-Bench/gate-tetris https://huggingface.co/blog/FINAL-Bench/ztc Collection: https://huggingface.co/collections/FINAL-Bench/ztc-models-jev-ecosystems Zero-Token Confidence (ZTC) reads it. One forward pass over the model's hidden state returns a calibrated probability that the answer is correct. Zero generated tokens. It sits at the top of the shared board. Same 2,018 items, same harness for every entry: ZTC on Darwin-397B 0.7394, JEV 0.7335, ZTC-Judge-27B 0.7255, a surface baseline that reads only answer length and formatting 0.7036, Lynx 8B 0.5157, the model's own self-reported confidence 0.5000, HHEM 0.4852. First and third place both emit nothing at all. The number worth staring at is 0.7036. That is a baseline reading no content whatsoever, just how long the answer is and how it is formatted. Any verifier scoring below it is not reading content either. On speed, one gate call costs 0.0615 seconds, measured on four B200s across 2,000 items. Generating a single candidate answer takes 1.631 seconds, so the gate is 26 times cheaper than the work it guards. A verifier that generates competes with your agent for the same budget. A verifier that only reads can be attached to every action instead of a sampled few. We built it so you can watch it decide. Three lanes receive the same stream of proposed actions and the same time budget. One has no gate and must execute everything. One uses a text-reading verifier. One uses ZTC. Right action plus one, wrong action minus one, hold zero. Over 400 matches: no gate minus 3.9, text verifier plus 13.0, ZTC plus 29.1, with ZTC taking 98 percent of matches. Gating lifts executed accuracy from 49 percent to 65 percent.
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Organizations
ginipick
's models
11
Sort: Recently updated
ginipick/Qwen-Image-Edit-Rapid-AIO
Text-to-Image
•
Updated
Nov 2, 2025
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1
ginipick/GLM-4.6
Text Generation
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357B
•
Updated
Nov 2, 2025
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9
ginipick/neutts-air
Text-to-Speech
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0.7B
•
Updated
Nov 2, 2025
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1.12k
•
1
ginipick/MiniMax-M2
Text Generation
•
229B
•
Updated
Nov 2, 2025
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10
ginipick/PaddleOCR-VL
Image-Text-to-Text
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1.0B
•
Updated
Nov 2, 2025
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17
ginipick/DeepSeek-OCR
Image-Text-to-Text
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3B
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Updated
Nov 2, 2025
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8
ginipick/Gemma-3-R1984-4B
Image-Text-to-Text
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4B
•
Updated
Apr 22, 2025
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13
•
52
ginipick/QwQ-32B-NF4
Text Generation
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33B
•
Updated
Mar 21, 2025
•
40
•
30
ginipick/wan-lora-cat
Text-to-Video
•
Updated
Mar 16, 2025
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7
ginipick/c-bag
Updated
Mar 13, 2025
ginipick/flux-lora-eric-cat
Text-to-Image
•
Updated
Dec 2, 2024
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55
•
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230