whatmodel.sh / decision / Von 1.3 (JevBench mini)
Von 1.3 (JevBench mini)
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Von 1.3 (JevBench mini) is a source-available decision implementation from wfzyx.
Catalogue identity notes
JevBench 0.1.0 mini tested configuration von: Encoder, option markers; base ModernBERT-large; readout option-marker head; listwise CE + Brier, temperature map. 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 Von 1.3 (JevBench mini), out of 357 with a score, then more from wfzyx.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 269 |  Saina Helm 2 Omni (0.8B) | 39±1 | model files | ||
| 270 | EXAONE-4.0-1.2B-JEV v0.3 | 39±1 | model files | ||
| 271 | Von 1.3 (JevBench mini) | 39±2 | source code | ||
| 272 |  vLLM-SR Decision 2.0 Sol 2B | 38±1 | local | ||
| 273 |  Sieve 0.8B | 38±1 | model files | ||
| more from wfzyx | |||||
| 329 | Von 1.3 | 25±1 | model files | ||
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$ what it's good at
consistency▃·▂▂·▅▃·▃▅▃█ #16 of 21 · 52% of its score · 5 tests
| test | result | vs the others in its run | counts |
|---|---|---|---|
| JevBench mini 0.1.0 · Probability measure coherence (pass rate) | 16.4% ✎ | ▄·▁·▃▃▁·▃▄▁█ beats 2/20 | 33% |
| JevBench mini 0.1.0 · Representation consistency (pass rate) | 83.1% ✎ | ▃·▂·▂▂▂▃▅▅▃█ beats 20/20 | 15% |
| JevBench mini 0.1.0 · Logical coherence (pass rate) | 80.0% ✎ | ▃·▃·█▅▅██▃█▅ beats 14/20 | 2.3% |
| JevBench mini 0.1.0 · Choice-set coherence (pass rate) | 100.0% ✎ | ▁▃▄█▄▄·····▄ beats 19/20 | 1.3% |
| JevBench mini 0.1.0 · Batch independence (pass rate) | 100.0% ✎ | ▁··········█ beats 13/20 | 0.0% |
other tests1 not in a task · 46% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| JevBench mini 0.1.0 · unchanged-answer accuracy | 72.2% ✎ | ▁·▂·▃···▂▂▁█ beats 5/20 | 46% |
$ 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/wfzyx ↗
$ how the score was worked out · JevBench 0.1.0 mini evaluatio… 98%
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 | 98% |
| prior · pull toward the middle | 2% | |
| weighted average | = 38.7 |
$ 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