qwen35-9b-clinical-adapter1-safety

Base model: daakia/qwen35-9b-clinical-base Adapter type: LoRA (bf16, rank=16, alpha=32) Tasks: pii_anonymisation, sae_case_narration, severity_classification, sae_detection

Description

Safety & Classification: PII/PHI anonymisation, SAE case narration, severity classification

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = AutoModelForCausalLM.from_pretrained("daakia/qwen35-9b-clinical-base", torch_dtype="bfloat16")
tokenizer = AutoTokenizer.from_pretrained("daakia/qwen35-9b-clinical-base")
model = PeftModel.from_pretrained(base_model, "daakia/qwen35-9b-clinical-adapter1-safety")

Training Details

Fine-tuned from daakia/qwen35-9b-clinical-base (domain-adapted on 25K clinical trial texts)
2 epochs, bf16 LoRA, A100 80GB
Trained for CDSCO regulatory workflow automation

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