‹ PublicAI Index
The LLM benchmark aggregator.
Metask Jev Rain 12B Trained
Other · 12B
Strongest in Decisions (#16 of 192), weakest in Calibration (#47 of 192). Above par in 3 of 3 scopes. Among the models it meets almost everywhere, it finishes behind Chon 1.0 12B and vLLM-SR d3 and ahead of Eikos 27B and Deck 31B.
§ 1 · Profile
What it is good at
Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.
Decisions62.8−4.1#16/1921/1
Routing & classification67.7−6.3#17/1921/1
Calibration57.8−4#47/1921/1
§ 2 · Head to head
What it beats, and what beats it
The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Metask Jev Rain 12B Trained, left for the other.
§ 3 · Sources
Where the numbers come from
1 publication, 2 figures. Every one links to the page it was read from.
JevBench · Intelligence 67.8%JevBench · Calibration 87.9%
Badge
[](https://publicai.io/model-index/m/metask-jev-rain-12b-trained)