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)
About the project
An open non-autoregressive decision model built on ModernBERT (149.6M) that emits typed decisions (Choice, Score) with calibrated probabilities in ~20-25 ms. On the typed-decisions benchmark it reaches 77.10% accuracy at 1.44% ECE.
Useful for
- Embed as a gating layer that auto-accepts confident decisions and escalates uncertain ones to humans
- Replace parsing of LLM text outputs with a direct model call in an automation pipeline
- Run the verdict2.evaluate benchmark on your own data to check calibration
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 12 stars so far today, about 59 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 98 stars.
- Top new repositories this week: #148.
- About 17 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 98
- Stars in a day
- 59
- Forks
- 12
- Issues and pull requests
- 1
- Watchers
- 0
- Language
- Python
- Created
- September 19, 2026
- Last push
- September 19, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 20, 2026Top new repositories this week: #148
Similar projects
-
7.2
TianyuCodings/NanoJev
A nano replica of Jev built on Qwen3-0.6B that outputs probability distributions over candidates in a single forward pass with no token decoding, plus a training pipeline and game demos (maze, Snake).
-
7.0
bespokelabsai/nimble
Nimble is a model and training recipe for fast typed decisions over text: given a flat schema of enum and boolean fields, it picks an answer and returns probabilities for each option. It targets routing, condition…
-
7.0
higgsfield-ai/higgsfield
Fault-tolerant GPU orchestration and ML framework for distributed training of models with billions to trillions of parameters, including LLMs. Manages node access, experiment queueing, and GitHub Actions integration.
-
6.9
githubnext/localjev
A local TypeScript/Bun HTTP service implementing a Jev-compatible POST /v1/systemone API on top of an OpenAI-compatible Chat Completions endpoint (DiffusionGemma via oMLX). It acts as a bridge for typed decisions…
-
6.8
docling-project/docling
Docling is a document parsing library for many formats (PDF, DOCX, PPTX, XLSX, HTML, EPUB, audio, video) with advanced PDF understanding: page layout, tables, formulas, OCR. It prepares structured data for generative…
-
6.7
jaredpalmer/kev
kev is a LoRA adapter with a small readout head on top of Qwen2.5-0.5B that answers many typed questions about a document in a single forward pass, returning calibrated probabilities instead of text.