medbench.kr

Gemma 4 26B-A4B on clinicalqa@0

Run d3265cd5bd82 · baseline tier · evaluated 2026-10-29

Scores

accuracy0.874 (0.854–0.894)
parse rate0.999
n1045
tokens (in / out)408483 / 542513
cost (USD)0.2035

By category

Allergy and Immunology0.917 (n=36)
Cardiology0.944 (n=89)
Dermatology0.750 (n=12)
Emergency Medicine0.969 (n=32)
Endocrinology0.897 (n=68)
Endocrinology, metabolic, and nutritional disorders1.000 (n=1)
Forensic Medicine1.000 (n=1)
Gastroenterology0.884 (n=112)
General Surgery0.862 (n=58)
Geriatric Medicine1.000 (n=1)
Gynecology0.771 (n=70)
Hematology and Oncology0.958 (n=48)
Infectious Diseases0.846 (n=52)
Musculoskeletal (e.g., costochondritis)1.000 (n=1)
Nephrology0.820 (n=111)
Neurology / Neurosurgery0.898 (n=49)
Obstetrics0.667 (n=18)
Ophthalmology1.000 (n=1)
Orthopedic Surgery0.917 (n=24)
Otolaryngology1.000 (n=14)
Otolaryngology (ENT)0.929 (n=14)
Pediatrics0.839 (n=56)
Pharmacology1.000 (n=1)
Psychiatry0.822 (n=45)
Pulmonology (Respiratory Medicine)0.877 (n=65)
Radiology1.000 (n=1)
Rheumatology0.898 (n=49)
Urology0.923 (n=13)
Vascular Surgery1.000 (n=2)
nan0.000 (n=1)

Reuse this result

Download per-item predictions (parquet) · JSON

@misc{medbench_d3265cd5bd82,
  title = {Gemma 4 26B-A4B on Korean clinical knowledge (KMLE-level MCQ) (clinicalqa@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/d3265cd5bd82}},
  note = {Evaluated 2026-10-29, harness p0.1, run key e7b81e34d23c}
}

Versions

model digestkgpu/gemma-4-26b-a4b
task spec hash77e37cd0ca6bded7fba03792ec1922342b3f6a7dc3ce602881ce196e6aa7377c
harnessp0.1
run keye7b81e34d23cf3b63946566261aece9266e6f8b06827c5d400eb1c21c16821bd
config{"max_tokens": 16384, "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