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Jev project · Jev-like models

Dohnuts

PsiACE/dohnuts

Small multimodal models for direct decisions on text, documents and images. Its model card publishes the benchmark it loses and states that its confidence field is not a measured probability of correctness. Weights are CC BY-NC-SA.

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GitHub stars
23 as of 2026-09-22
Forks
3
Language
Python
License
Apache-2.0
Created
2026-09-21
Last updated on GitHub
2026-09-21
Built by this developer
Chojan Shang

What Jev does in Dohnuts

The project describes itself this way: Small multimodal models for direct decisions on text, documents and images. Its model card publishes the benchmark it loses and states that its confidence field is not a measured probability of correctness. Weights are CC BY-NC-SA. In the Jev-like models category, Jev typically decides the same kinds of typed questions as Jev, answered by a different, usually local, model.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

Topics

How Jev-like models projects use Jev

Independent models and servers that reproduce the Jev decision pattern, often on open weights you can run yourself. None of them is the hosted TypeSafe model, but they are useful for offline work, research and teams that cannot send data to an external API.

Related Jev projects in Jev-like models

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  2. tinyjevankit-aglawe/tinyjevA tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.★ 16
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  4. jevtppwiatrM/jevtppJev-like decisions. Strong C++ types.★ 1
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  5. jevk5allebee/jevk5JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.★ 106
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  6. openjevrazorback16/openjevAn independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model.★ 313
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See all 39 Jev-like models projects →

Where we found it