medbench.kr

Meerkat 8B on clinicalqa@0

Run 6a7fc960cdd0 · agent · evaluated 2026-10-29

Scores

accuracy0.674 (0.645–0.700)
parse rate0.906
n1045
tokens (in / out)0 / 303718
cost (USD)0.0000

By category

Allergy and Immunology0.611 (n=36)
Cardiology0.753 (n=89)
Dermatology0.750 (n=12)
Emergency Medicine0.594 (n=32)
Endocrinology0.735 (n=68)
Endocrinology, metabolic, and nutritional disorders1.000 (n=1)
Forensic Medicine1.000 (n=1)
Gastroenterology0.732 (n=112)
General Surgery0.741 (n=58)
Geriatric Medicine1.000 (n=1)
Gynecology0.514 (n=70)
Hematology and Oncology0.792 (n=48)
Infectious Diseases0.615 (n=52)
Musculoskeletal (e.g., costochondritis)1.000 (n=1)
Nephrology0.559 (n=111)
Neurology / Neurosurgery0.673 (n=49)
Obstetrics0.444 (n=18)
Ophthalmology1.000 (n=1)
Orthopedic Surgery0.625 (n=24)
Otolaryngology0.786 (n=14)
Otolaryngology (ENT)0.714 (n=14)
Pediatrics0.714 (n=56)
Pharmacology1.000 (n=1)
Psychiatry0.667 (n=45)
Pulmonology (Respiratory Medicine)0.723 (n=65)
Radiology1.000 (n=1)
Rheumatology0.673 (n=49)
Urology0.615 (n=13)
Vascular Surgery1.000 (n=2)
nan0.000 (n=1)

Reuse this result

Download per-item predictions (parquet) · JSON

@misc{medbench_6a7fc960cdd0,
  title = {Meerkat 8B on Korean clinical knowledge (KMLE-level MCQ) (clinicalqa@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/6a7fc960cdd0}},
  note = {Evaluated 2026-10-29, harness p0.1, run key 0fa39f42fbf3}
}

Versions

modeldmis-lab/llama-3-meerkat-8b-v1.0 (Korea University DMIS Lab)
task spec hash77e37cd0ca6bded7fba03792ec1922342b3f6a7dc3ce602881ce196e6aa7377c
harnessp0.1
run key0fa39f42fbf375ae9361dfe4e678e38c8b45759ef040c1c818b153dac909ff9e
config{"max_tokens": 4096, "prompt": "clinicalqa-p0", "temperature": 0}

Data

ClinicalQA: Korean Medical Knowledge QA Benchmark, CC BY 4.0 (upstream Apache-2.0).

SNUH-HARI. ClinicalQA: Korean Medical Knowledge QA Benchmark. Seoul National University Hospital Healthcare AI Research Institute, 2025. doi:10.23421/2026.0800