CATMuS (Consistent Approach to Transcribing ManuScript) Medieval is a Kraken HTR model trained on four different languages (in descending order of importance in the dataset: Old and Middle French, Latin, Spanish (and other languages of Spain), Italian) on strictly graphematic transcriptions. No abbreviations are resolved. This model is the result of the collaboration from researchers from CREMMA, GalliCorpora, HTRomance and DEEDS projects. It follows the CREMMA Guidelines (Supplemented by the CREMMA Medii Aevi) and will be consolidated under the CATMuS Medieval Guidelines in an upcoming paper. The model is trained with NFD Unicode normalization: each diacritic (including superscripts) are transcribed as their own characters, separately from the "main" character. Data See https://huggingface.co/datasets/CATMuS/medieval All source datasets and papers are referenced in the related works section, all transcribers are mentioned in the collaborators section, all partner-project members are mentioned as authors. Fundings CREMMA, DIM MAP, Région Île-de-France CremmaLab, DIM MAP, Région Île-de-France GalliCorpora, Datalab, Bibliothèque nationale de France HTRomance, Datalab, Bibliothèque nationale de France Text as Image, Image as Text: Charter integrity and topic modelling, SSHRCC 1350911 Les Décades de Bersuire, première traduction française de l'Histoire romaine de Tite-Live – LiBer, ANR 21-CE27-0008 Projet Fabliaux, Biblissima+, ANR 21-ESRE-0005 HTRogène, Biblissima+, ANR 21-ESRE-0005