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Heman10x-NGU/openJev-verdict-2.0

Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)

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Python
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50
2 contributors
Custom license
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Momentum

How fast Heman10x-NGU/openJev-verdict-2.0 is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 18 – Oct 23, 2026

Stars +305 in 36 days

050100150
150

Forks +50 in 36 days

0102030
24

Merged PRs 1 in 36 days

01
1

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 18Sep 23Sep 28Oct 3Oct 8Oct 13Oct 18Oct 23
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+29+30
Sun, Sep 20, 2026+150+241
Mon, Sep 21, 2026+59+100
Tue, Sep 22, 2026+28+10
Wed, Sep 23, 2026+13+30
Thu, Sep 24, 2026+6+20
Fri, Sep 25, 2026+1+00
Sat, Sep 26, 2026+5+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+1+00
Tue, Sep 29, 2026+0+10
Wed, Sep 30, 2026+2+00
Thu, Oct 1, 2026+1+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+2+00
Sat, Oct 10, 2026+0+10
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+10
Thu, Oct 15, 2026+0+10
Fri, Oct 16, 2026+1+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+1+10
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+0+10
Thu, Oct 22, 2026+3+00
Fri, Oct 23, 2026+2+10
Total+305+501
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 213 posts
    • People asking why Jev is blowing up when it is "just a transformer encoder" are missing what developers dealt with for the last three years. Teams spent dollars calling 70B causal decoders for simple…

      Read full on X, posted by @heman10x

      @heman10x · x.com

    • Heman10x-NGU/openJev-verdict-2.0: Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-d

      Read full on Reddit

      r/typesafe

    • 一个 151M 的非自回归决策模型。作者报的数是在 LocalLLaMA 的 typed-decisions 上准确率 77.10%、Brier 0.0636、ECE 0.0144,并说打过了 Jev 和 Laya。 我们上个月量过 Laya 在另一批题上的表现,所以这类对比得看清题目和阈值。

      Read full on X, posted by @aigeeknews

      @aigeeknews · x.com

  2. Sep 201 post
    • Did my openJev Verdict(Oss jev made on just 151M param base model) hit #2(possibly #1 even?) on JevBenchmarks> When JevBench v1.2 evaluated openJev Verdict earlier this week, we were sitting at #11…

      Read full on X, posted by @heman10x

      @heman10x · x.com

  3. Sep 191 post2 posts
    • Seems Laya is the only jevlike that used RLCD. Note: There are two RLCD, Calibrated and Contrastive. Calibrated one is what Jev and Laya used although the paper has not been released AFAIK.

      Read full on X, posted by @donpark

      @donpark · x.com

    • Did my OSS-Jev called Verdict, beat Official Typesafeai 's Jev ?, and Laya (the best performing OSS Jev) on their own benchmark? When I first tested Verdict 1.0(my earlier attempt of oss-jev) earlier…

      Read full on X, posted by @heman10x

      @heman10x · x.com

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