Instructions to use Maorb23/qwen36-medical-qlora-adapter-415steps-eval450 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Maorb23/qwen36-medical-qlora-adapter-415steps-eval450 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "Maorb23/qwen36-medical-qlora-adapter-415steps-eval450") - Notebooks
- Google Colab
- Kaggle
Qwen Medical QLoRA Adapter
This repository contains LoRA adapter weights only. It does not contain merged or full base-model weights.
Base model: Qwen/Qwen3.6-27B
Training mixture:
{
"source_counts": {
"medmcqa": {
"train": 17500,
"eval": 158,
"weight": 0.35
},
"pubmedqa": {
"train": 15000,
"eval": 135,
"weight": 0.3
},
"medqa_usmle": {
"train": 10000,
"eval": 90,
"weight": 0.2
},
"mednli": {
"train": 5000,
"eval": 45,
"weight": 0.1
},
"medical_safety": {
"train": 2500,
"eval": 22,
"weight": 0.05
}
},
"weights": {
"medmcqa": 0.35,
"pubmedqa": 0.3,
"medqa_usmle": 0.2,
"mednli": 0.1,
"medical_safety": 0.05
},
"train_rows": 50000,
"eval_rows": 450
}
Safety scope: medical education and biomedical research reasoning, not direct patient care.
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Base model
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