whatmodel.sh / decision / JevAny-Qwen-4B (direct token) (JevBench mini)
JevAny-Qwen-4B (direct token) (JevBench mini)
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JevAny-Qwen-4B (direct token) (JevBench mini) is a source-available decision implementation from SimpleJev.
Catalogue identity notes
JevBench 0.1.0 mini tested configuration jevany-qwen-4b-direct: Decoder, answer-letter logits; base Qwen3.5-4B; readout LoRA SFT, direct-token readout. Separate identity because the report does not establish equivalence to the newer Decision Index checkpoint or serving recipe. No latency imported.
$ how it compares
The decision models ranked either side of JevAny-Qwen-4B (direct token) (JevBench mini), out of 357 with a score, then more from SimpleJev.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 181 | RSI-Jev v6.1 VL 4B | 53±1 | model files | ||
| 182 |  PurpleMIST-Flash-1.0 | 53±1 | model files | ||
| 183 | JevAny-Qwen-4B (direct token) (JevBench mini) | 53±2 | source code | ||
| 184 | decider-2b (DecisionBench fa996cea) | 53±2 | model files | ||
| 185 |  cua-s1-4b-0.2 (DecisionBench 16818868) | 53±2 | model files | ||
| more from SimpleJev | |||||
| 173 | JevAny-Qwen-4B (pointer) (JevBench mini) | 54±2 | source code | ||
| 177 | JevAny-Gemma-4B (pointer) (JevBench mini) | 54±2 | source code | ||
see all decision models · find the ones that fit your machine
$ what it's good at
consistency▃·▂▂·▅▃·▃▅▃█ #5 of 21 · 68% of its score · 5 tests
| test | result | vs the others in its run | counts |
|---|---|---|---|
| JevBench mini 0.1.0 · Probability measure coherence (pass rate) | 50.2% ✎ | ▄·▁·▃▃▁·▃▄▁█ beats 15/20 | 52% |
| JevBench mini 0.1.0 · Representation consistency (pass rate) | 81.4% ✎ | ▃·▂·▂▂▂▃▅▅▃█ beats 16/20 | 13% |
| JevBench mini 0.1.0 · Logical coherence (pass rate) | 80.8% ✎ | ▃·▃·█▅▅██▃█▅ beats 15/20 | 2.3% |
| JevBench mini 0.1.0 · Choice-set coherence (pass rate) | 76.4% ✎ | ▁▃▄█▄▄·····▄ beats 11/20 | 1.2% |
| JevBench mini 0.1.0 · Batch independence (pass rate) | 100.0% ✎ | ▁··········█ beats 16/20 | 0.0% |
other tests1 not in a task · 29% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| JevBench mini 0.1.0 · unchanged-answer accuracy | 88.6% ✎ | ▁·▂·▂···▂▂▁█ beats 15/20 | 29% |
$ 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
| source | results | share of the score |
|---|---|---|
 JevBench 0.1.0 mini evaluation reports | 6 | 97% |
| prior · pull toward the middle | 3% | |
| weighted average | = 53.2 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json