Model: OpenMedZoo/MedGo
Author: OpenMedZoo
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, qwen3, text-generation, medical, conversational, zh, en, base_model:Qwen/Qwen3-32B, base_model:finetune:Qwen/Qwen3-32B, doi:10.57967/hf/7024, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: Qwen/Qwen3-32B
Card metadata: license: apache-2.0
language: zh, en
metrics: accuracy
base_model: Qwen/Qwen3-32B
pipeline_tag: text-generation
library_name: transformers
tags: medical
model-index: name: Med-Go-32B
results: task: type: text-generation
dataset: type: medical_eval_hle
name: Medical-Eval-HLE
metrics: name: accuracy
type: accuracy
value: 19.4
verified: no, task: type: text-generation
dataset: type: supergpqa
name: SuperGPQA
metrics: name: accuracy
type: accuracy
value: 37.2
verified: no, task: type: text-generation
dataset: type: medbullets
name: Medbullets
metrics: name: accuracy
type: accuracy
value: 57.8
verified: no, task: type: text-generation
dataset: type: mmlu_pro
name: MMLU-pro
metrics: name: accuracy
type: accuracy
value: 64.3
verified: no, task: type: text-generation
dataset: type: afrimedqa
name: AfrimedQA
metrics: name: accuracy
type: accuracy
value: 74.7
verified: no, task: type: text-generation
dataset: type: medmcqa
name: MedMCQA
metrics: name: accuracy
type: accuracy
value: 68.3
verified: no, task: type: text-generation
dataset: type: medqa_usmle
name: MedQA-USMLE
metrics: name: accuracy
type: accuracy
value: 76.8
verified: no, task: type: text-generation
dataset: type: cmb
name: CMB
metrics: name: accuracy
type: accuracy
value: 92.5
verified: no, task: type: text-generation
dataset: type: cmexam
name: CMExam
metrics: name: accuracy
type: accuracy
value: 87.4
verified: no, task: type: text-generation
dataset: type: pubmedqa
name: PubMedQA
metrics: name: accuracy
type: accuracy
value: 76.6
verified: no, task: type: text-generation
dataset: type: medexqa
name: MedExQA
metrics: name: accuracy
type: accuracy
value: 81.5
verified: no, task: type: text-generation
dataset: type: explaincpe
name: ExplainCPE
metrics: name: accuracy
type: accuracy
value: 89.5
verified: no, task: type: text-generation
dataset: type: mmlu_med
name: MMLU-Med
metrics: name: accuracy
type: accuracy
value: 87.4
verified: no, task: type: text-generation
dataset: type: medxperqa
name: MedXperQA
metrics: name: accuracy
type: accuracy
value: 20.7
verified: no, task: type: text-generation
dataset: type: anesbench
name: AnesBench
metrics: name: accuracy
type: accuracy
value: 53.1
verified: no, task: type: text-generation
dataset: type: diagnosisarena
name: DiagnosisArena
metrics: name: accuracy
type: accuracy
value: 64.4
verified: no, task: type: text-generation
dataset: type: clinbench_hbp
name: Clinbench-HBP
metrics: name: accuracy
type: accuracy
value: 80.6
verified: no, task: type: text-generation
dataset: type: medpair
name: MedPAIR
metrics: name: accuracy
type: accuracy
value: 32.3
verified: no, task: type: text-generation
dataset: type: amqa
name: AMQA
metrics: name: accuracy
type: accuracy
value: 72.7
verified: no, task: type: text-generation
dataset: type: medethicaleval
name: MedethicalEval
metrics: name: accuracy
type: accuracy
value: 92.2
verified: no
Likes: 13 | All-time downloads: 579
Created: 2025-11-18 07:03:24