whatmodel.sh / decision / JevAny-Qwen-4B (pointer) (JevBench mini)

JevAny-Qwen-4B (pointer) (JevBench mini) is a source-available decision implementation from SimpleJev.

Catalogue identity notes

JevBench 0.1.0 mini tested configuration jevany-qwen-4b: Decoder, pointer head; base Qwen3.5-4B; readout LoRA SFT, pointer readout. Separate identity because the report does not establish equivalence to the newer Decision Index checkpoint or serving recipe. No latency imported.

53.9±2.4#171 of 355 decision modelsfrom 6 benchmark results across 1 source

$ how it compares

The decision models ranked either side of JevAny-Qwen-4B (pointer) (JevBench mini), out of 357 with a score, then more from SimpleJev.

#modelscorewhereRAMreleased
171Sieve 4B Sthānika AI54±1model files2026-10-13
172Bespoke-Nimble-9B (DecisionBench 594dfdcf) Bespoke Labs54±2model files
173JevAny-Qwen-4B (pointer) (JevBench mini) SimpleJev54±2source code
174Standard One 3B SH (v4) Standard Thinking54±1model files
175decider-4b v2.1 (JevBench mini) Mapika54±2source code
more from SimpleJev
177JevAny-Gemma-4B (pointer) (JevBench mini) SimpleJev54±2source code
183JevAny-Qwen-4B (direct token) (JevBench mini) SimpleJev53±2source code

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

$ what it's good at

consistency▃·▂▂·▅▃·▃▅▃█ #3 of 21 · 69% of its score · 5 tests

Trails JevAny-Gemma-4B (pointer) (JevBench mini) here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
JevBench mini 0.1.0 · Probability measure coherence (pass rate)52.2% ✎▄·▁·▃▃▁·▃▄▁█ beats 19/20medium · avg 43%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 53%sharp · at its level
JevBench mini 0.1.0 · Representation consistency (pass rate)81.7% ✎▃·▂·▂▂▂▃▅▅▃█ beats 18/20easy · avg 79%▇▇▇▇▇ 13%typical
JevBench mini 0.1.0 · Logical coherence (pass rate)78.3% ✎▃·▃·█▅▅██▃█▅ beats 12/20easy · avg 78%▇ 2.3%blunt
JevBench mini 0.1.0 · Choice-set coherence (pass rate)84.7% ✎▁▃▄█▄▄·····▄ beats 14/20easy · avg 79%▇ 1.2%noisy
JevBench mini 0.1.0 · Batch independence (pass rate)100.0% ✎▁··········█ beats 18/20very easy · avg 97%▇ 0.0%blunt · maxed out · noisy
other tests1 not in a task · 28% of its score
testresultvs the others in its rundifficultycountswhy
JevBench mini 0.1.0 · unchanged-answer accuracy88.8% ✎▁·▂·▂···▂▂▁█ beats 17/20very easy · avg 87%▇▇▇▇▇▇▇▇▇▇▇ 28%sharp

$ where to run it

Implementation and setup instructions ↗
Published implementation and setup documentation verified. This entry describes a decision readout or evaluated configuration, not necessarily separate trained weights. Follow the referenced version and model settings; hardware compatibility has not been verified. Source · checked 2026-10-31.

Model repository and documentation: github.com/SimpleJev ↗

$ how the score was worked out · JevBench 0.1.0 mini evaluatio… 97%

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
JevBench 0.1.0 mini evaluation reports6Apache-2.0
prior · pull toward the middle
weighted average= 53.9

$ improve this page

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data updated · sources and licences · json