The LLM benchmark aggregator.
Quyet-1.0-Tiny (Chinh Nguyen, mmBERT-small encoder (16 layers kept) with fixed heads)
Other
Strongest in Calibration (#170 of 192), weakest in Decisions (#179 of 192). Above par in 0 of 3 scopes. Among the models it meets almost everywhere, it finishes behind Chon 1.0 12B and vLLM-SR d3 and ahead of SimpleJev and openJev Verdict.
§ 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.
§ 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 Quyet-1.0-Tiny (Chinh Nguyen, mmBERT-small encoder (16 layers kept) with fixed heads), 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.
Badge
[](https://publicai.io/model-index/m/quyet-1-0-tiny-chinh-nguyen-mmbert-small-encoder-16-layers-kept-with-fixed-heads)