Are the benchmark scores in the open-source section independently checked?

No. Each entry is phrased as what the authors report, and the numbers differ in kind: some are accuracy on public task sets, one is a median latency on named consumer hardware, one is a score on a benchmark the project released itself. The list aggregates those claims and links the source; it does not reproduce the runs or arbitrate between them.

Does the benchmark section ship harness code, or just leaderboard links?

A Benchmark & Leaderboard section of 36 items and a separate papers-only companion list exist according to the contents and badges, but the captured README stopped inside the open-source section. Whether those entries carry harness code, pinned model versions, decoding settings or seeds cannot be determined from what was captured.

Which open model should I start from if I need Chinese, Japanese or Thai decisions?

For those languages the list points at a Thai and English 0.8B model with a 256-way slot head, and a Japanese 314.6M ModernBERT-ja model that returns choice, score and bool probabilities in one forward pass. What is not documented is whether these share a common API or evaluation harness with each other, or whether any of them can be loaded through the same runtime.

Can I use these models commercially?

Check per entry, because the licences conflict. One text-and-image model is listed as Apache-2.0 code with CC BY-NC-SA 4.0 weights, which is non-commercial; a Japanese model is Apache-2.0 for both code and weights; another 0.8B text-and-image entry carries the same non-commercial weight licence. The list's own CC BY 4.0 licence covers the written material only, not the linked projects.

How many entries and sections does awesome-jev have?

Its badges count 167 entries, 25 papers, 46 open-source projects, 35 benchmarks and 125 items with code, across sections for System One and Jev, open source, built with Jev, benchmarks, commentary, lineage, what Jev is sold against, name history and related lists.

What is the System One Adapter this list links to?

It is the official drop-in at typesafe-ai/system-one-adapter-python that serves the same typed interface from OpenAI or Anthropic models, described in the list as the baseline for every comparison.

What license does the awesome-jev list itself use?

The list is CC BY 4.0 and carries no code; it is a set of links with one-line glosses rather than anything to install or run.

CommunityJev Guides & Articles

OmniJev's Awesome Jev

A curated link list for the System One and Jev ecosystem: TypeSafe's own launch material, open-weight decision models, benchmarks and commentary, with each entry annotated by what its authors measured.

See highlights

Open github.com

Stars: 501
Language: JavaScript
Published by: Community
Author: OmniJev
Last verified: Oct 2026

OmniJev/awesome-jev

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🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.

Forks: 32
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

This is one of several Jev listings for the same project. The canonical entry is Awesome Jev — yibie.

About this project

⚡ System One & Jev · 🧪 Open Source · 🔧 Built with Jev · 📊 Benchmarks · 📰 Commentary · 🧬 Lineage. ⚡ System One & Jev (8) 🧬 The Shape Before Jev (15) 🧱 What Jev Is Sold Against (9) 🧠 Where the Name Comes From (5) 🆕 2026-09-29. We added a Benchmark & Leaderboard section and a papers-only list, Awesome JEV Papers. PRs welcome. 🆕 2026-09-22. We added 14 projects and evaluations. What TypeSafe has published: the launch post, the contract, the failure modes it admits to, and the code it ships.

Quoted from the project's README. Read the full README.

Tagscommunity jevbest

Works forJev for Classification Jev for Evaluation

Used inJev for Software & DevTools

Languages: Python

Highlights

Ten sections covering open source, built-with, benchmarks, commentary, plus lineage and name-history sections.
Header badges count 163 entries, 25 papers, 45 open-source projects and 121 items with code.
Open-source entries quote the authors' own numbers, e.g. a 1.88B fine-tune scoring 0.775 on its 1,710-question benchmark.
Links the official adapter, the jaggedness docs for Jev 1.13 and the Vercel AI SDK provider page.

Watch out

Every entry is a link with a one-line gloss, so there is nothing here to install or run; the list itself is CC BY 4.0 and carries no code. The numbers quoted in the open-source section are the model authors' own claims - a browser runtime is described as uncalibrated by default - and the list does not re-run them. Licensing is not uniform: one 0.8B text-and-image model ships Apache-2.0 code with CC BY-NC-SA 4.0 weights, which blocks commercial use of the weights. The README captured for this directory was cut off partway through the open-source section, so the built-with, benchmark, commentary, lineage and related-list entries were not visible. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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