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litjev (DecisionBench 1d4bf0f2)

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litjev (DecisionBench 1d4bf0f2) is an open-weights decision model from zhengxuyu. Its published size is 27.781427952B parameters. Licence: apache-2.0.

Catalogue identity notes

DecisionBench v1 comparison: zhengxuyu/litjev, revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0; language-model; adapter jev-compatible-server-v1; probability source option_letter_logit_softmax. Kept separate from newer or unpinned Decision Index recipes; standard prompt, not compact. No unverified runtime or OpenRouter price imported. Current repository metadata checked separately; an unpinned alias is not evidence that today’s weights reproduce this historical run.

Model information sources

· Weights licence ↗ · Parameter count ↗

Published served parameter count; not a RAM or download-size measurement.

61.3±1.8#99 of 355 decision modelsfrom 27 benchmark results across 1 source

$ how it compares

The decision models ranked either side of litjev (DecisionBench 1d4bf0f2), out of 357 with a score.

#modelscorewhereRAMreleased
97vLLM-SR Decision 2.0 Vega 27B vLLM Semantic Router61±1model files
98GEV-26B-Decide AutoTrust AI Lab61±1model files
99litjev (DecisionBench 1d4bf0f2) zhengxuyu61±2model files
100Surogate Rune 26B-A4B v3 Surogate61±1request access
101Verdin-4B v1.1 victorbennett61±1model files

see all decision models · find the ones that fit your machine

$ what it's good at

workflows▁▁▁▂▁▂▂▆█▄▁▁ #21 of 114 · 99% of its score · 27 tests

Beats Nace.AI Drex Max v1 (27B), d1.1 (hosted), Span-02 (Gemma 4 26B-A4B) here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
DecisionBench v1 · action selection (all-request accuracy) submitted64.7% ✎▂▁▂▃▄▃▁▁▂█▇▄ beats 50/56medium · avg 51%▇▇▇▇▇▇▇▇ 21%at its level
DecisionBench v1 · routing (all-request accuracy) submitted77.3% ✎▁▁▁▁▂▂▁▁▁▁▃█ beats 53/56medium · avg 64%▇▇▇▇▇ 12%sharp
DecisionBench v1 · record classification (all-request accuracy) submitted48.0% ✎▃▂▁▂▂▂▄▁▃▆██ beats 46/56medium · avg 39%▇▇▇▇ 10%at its level
DecisionBench v1 · navigation (all-request accuracy) submitted73.0% ✎▁▁·▃▁▁▁▁▁▁▃█ beats 48/56medium · avg 58%▇▇▇▇ 10%sharp · at its level
DecisionBench v1 · verification (all-request accuracy) submitted65.0% ✎▁▁▅▁▃▂▂▁▁▇▇█ beats 56/56medium · avg 56%▇▇▇ 6.7%blunt · at its level
DecisionBench v1 · document record classification (all-request accuracy) submitted53.8% ✎▂▂·▁▂▄▃▆▄█▁▁ beats 41/56medium · avg 46%▇▇ 5.6%at its level
DecisionBench v1 · rubric scoring prioritization (all-request accuracy) submitted49.0% ✎▁▁▅▅▃▃▅█▃▃·▁ beats 40/56medium · avg 45%▇▇ 4.8%at its level
DecisionBench v1 · triage (all-request accuracy) submitted91.0% ✎▁·▁·▂▃▄▃▂█▄▃ beats 53/56easy · avg 78%▇ 3.7%sharp
19 more tests
testresultvs the others in its rundifficultycountswhy
DecisionBench v1 · completion assessment (all-request accuracy) submitted94.0% ✎▁▁▂▃▄·▂▁▁▆█▂ beats 48/56very easy · avg 86%▇ 3.1%sharp · maxed out
DecisionBench v1 · review scoring (all-request accuracy) submitted58.0% ✎▁······▂▃▅▇█ beats 38/56medium · avg 52%▇ 3.1%at its level
DecisionBench v1 · content classification (all-request accuracy) submitted81.0% ✎▁····▁▁▁▁▁▁█ beats 52/56easy · avg 73%▇ 2.9%typical
DecisionBench v1 · retrieval ranking (all-request accuracy) submitted59.0% ✎▁▁·▁▁▂▃▂▃▁▁█ beats 47/56medium · avg 35%▇ 2.6%at its level · noisy
DecisionBench v1 · target selection (all-request accuracy) submitted46.0% ✎▁▁·▁▁▁▃▁▂▁▁█ beats 43/56hard · avg 29%▇ 2.5%at its level · noisy
DecisionBench v1 · bounded extraction (all-request accuracy) submitted95.5% ✎▃▃▂·▁▁▁▁▁▁█▅ beats 52/56very easy · avg 86%▇ 2.4%sharp · maxed out · noisy
DecisionBench v1 · risk scoring (all-request accuracy) submitted68.0% ✎▁▁·▁▂▂▁▃▃█▇▃ beats 43/56medium · avg 62%▇ 2.0%blunt · at its level
DecisionBench v1 · reasoning (all-request accuracy) submitted67.2% ✎▂·▁▁▆█▅▃▃▂▁▁ beats 46/56medium · avg 52%▇ 1.3%at its level
DecisionBench v1 · document workflows (all-request accuracy) submitted69.2% ✎█▄▃▁▃▃▂▂▁·▁▁ beats 38/56easy · avg 66%▇ 0.8%blunt · at its level
DecisionBench v1 · retrieval verification (all-request accuracy) submitted87.9% ✎█▁▂▁▁▁▁▁▂▅▁▁ beats 48/56easy · avg 74%▇ 0.7%noisy
DecisionBench v1 · guardrails moderation (all-request accuracy) submitted62.9% ✎▁▁▁▂▆▃▃█···▁ beats 45/56medium · avg 52%▇ 0.6%blunt · at its level · noisy
DecisionBench v1 · document classification (all-request accuracy) submitted0.0% ✎▃▁·▂▁▁▁▄▁▂▂█ beats 0/56hard · avg 21%▇ 0.4%blunt · at its level · noisy
DecisionBench v1 · safety gating (all-request accuracy) submitted98.0% ✎▂·····▆█▂▂▄▇ beats 52/56easy · avg 77%▇ 0.4%noisy
DecisionBench v1 · semantic filtering (all-request accuracy) submitted79.0% ✎▁·▁▁·▁▁█▂▃█▂ beats 32/56easy · avg 71%▇ 0.3%blunt · noisy
DecisionBench v1 · context management (all-request accuracy) submitted93.5% ✎▁·····▁▇▆▁█▃ beats 52/56easy · avg 73%▇ 0.2%blunt · noisy
DecisionBench v1 · content moderation (all-request accuracy) submitted100.0% ✎▁····▃▅▃▂▂·█ beats 44/56easy · avg 82%▇ 0.2%noisy
DecisionBench v1 · entity alignment (all-request accuracy) submitted28.5% ✎▁·▁▄▇▄▅▄▂▁▄█ beats 16/56easy · avg 66%▇ 0.2%at its level · noisy
DecisionBench v1 · function agent skill routing (all-request accuracy) submitted25.3% ✎▃▃▄▅▆▂▅▄▃▄█▃ beats 10/56easy · avg 68%▇ 0.1%blunt · at its level · noisy
DecisionBench v1 · routing triage (all-request accuracy) submitted0.0% ✎█▁···▁·▂▆▅▂▂ beats 0/56medium · avg 42%▇ 0.0%blunt · at its level · noisy

$ where to run it

Download model files ↗
Published model files verified. This is the revision recorded by the benchmark. A local run command and hardware requirements have not been verified for this entry. Source · checked 2026-10-31.

Model repository and documentation: huggingface.co/Qwen ↗

$ how the score was worked out · Hanno Labs DecisionBench v1 r… 99%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
Hanno Labs DecisionBench v1 reviewed results · submitted; independent execution unverified27CC0 1.0
prior · pull toward the middle
weighted average= 61.3

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