One protocol per task
Ranks compare the same data and settings. Speech, translation, and language models have separate tracks. Filters do not rerank models.
KALENJIN MODELS
Explore models that transcribe Kalenjin speech.
Reading the published protocol and result snapshot.
Reading the published snapshot.
Only common-protocol evaluations determine rank.
Results are specific to the published protocol and submitted, edited references. A computational audit checks arithmetic and recorded artifacts; it is not peer review or independent native-speaker adjudication.
The five evaluation recordings, edited references, and all seven models’ responses are available on the Listen & compare page. Training overlap and speaker independence remain unknown; this is not a demonstrated unseen or blind test. All inference and scoring run on the owner’s DGX Spark.
Read the protocol and access limits ↗Ranks compare the same data and settings. Speech, translation, and language models have separate tracks. Filters do not rerank models.
Computational checks are not peer review. A dash means no eligible score; unavailable and excluded models retain a visible reason.
Reported scores live in expandable notes. They never affect rank. Maintainer-owned models follow the same rules.