open-jev

by JoshuaSP · AI Tool · ★ 42

About open-jev

Open Jev An experimental inference harness for typed JSON decisions with DiffusionGemma. Denoise freely, then choose the most likely allowed tokens from the final logits. No training or fine-tuning. The goal is to explore how close an open diffusion model can get to TypeSafe AI's Jev on structured judgments. This is an independent experiment, not a reproduction of Jev's architecture, training, calibrated probabilities, or published workflow scores. Results at a glance Measured September 16, 2026 on one H100 80GB, BF16, using .

Quick Facts

Stars42
Forks2
LanguagePython
CategoryAI Tool
LicenseMIT
Quality Score60.7271168305411/100
Open Issues1
Last Updated2026-09-16
Created2026-09-16
Platformspython
Est. Tokens~16k

Compatible Skills

These tools work well together with open-jev for enhanced workflows:

  • openjev-sglang — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • jevmlx — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • jev-mcp — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • PawBench — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is open-jev?

open-jev is Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results. It is categorized as a AI Tool with 42 GitHub stars.

What programming language is open-jev written in?

open-jev is primarily written in Python.

How do I install or use open-jev?

You can find installation instructions and usage details in the open-jev GitHub repository at github.com/JoshuaSP/open-jev. The project has 42 stars and 2 forks, indicating an active community.

What license does open-jev use?

open-jev is released under the MIT license, making it free to use and modify according to the license terms.

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