Pinned post
🚀 Excited to share the first decision models for Lithuanian medical texts!
By our @AIML_VU we’ve released three open models for calibrated typed decisions on Lithuanian MEDLINE abstracts:
• Qwen3.5-4B-LT-med
• medgemma-1.5-4b-it-decitions-lt-med
• laya-multilingual-lt-med
Trained/adapted on MEDLINE-S1-LT for study design, disease area, humans/animals, adverse effects, drug therapy, age groups etc.
Strong accuracy + calibration on the held-out Lithuanian test set. Research models - not medical devices or clinical advice.
Links:
huggingface.co/AIML-VU/Qwen3.…
huggingface.co/AIML-VU/medgem…
huggingface.co/AIML-VU/laya-m…
By our @AIML_VU we’ve released three open models for calibrated typed decisions on Lithuanian MEDLINE abstracts:
• Qwen3.5-4B-LT-med
• medgemma-1.5-4b-it-decitions-lt-med
• laya-multilingual-lt-med
Trained/adapted on MEDLINE-S1-LT for study design, disease area, humans/animals, adverse effects, drug therapy, age groups etc.
Strong accuracy + calibration on the held-out Lithuanian test set. Research models - not medical devices or clinical advice.
Links:
huggingface.co/AIML-VU/Qwen3.…
huggingface.co/AIML-VU/medgem…
huggingface.co/AIML-VU/laya-m…