vadimbelsky/qwen3.5-medical-sft-stage2

Qwen3.5-9B Medical Triage — Stage 2 (Merged)

Merged full-precision (bfloat16) model. Fine-tuned in two stages on clinical triage data using Unsloth.

Training

	Stage 1	Stage 2
Base	Qwen/Qwen2.5-7B	merged Stage 1
Dataset	~50K synthetic PubMed QA pairs	~9.2K clinical intake notes (SOAP format, ESI 1-5)
LoRA rank	r=16, α=16	r=32, α=64
Learning rate	2e-4	1e-4
Max seq length	4 096	4 096
Epochs	1	1
Batch size	8 (eff. 16)	8 (eff. 16)
Precision	bf16	bf16

Stage 1 LoRA adapters were merged into base weights before Stage 2 to give a stable optimizer foundation.

Dataset — Stage 2

— 9 238 synthetic SOAP-format clinical intake notes with:

• Chief complaint
• ESI triage level (1–5)
• Full SOAP note
• Triage decision rationale

System Prompt

Usage

Demo

Medical Triage Assistant — Hugging Face Space

Limitations & Disclaimer

This model is for research and educational purposes only. It must not be used for clinical decision-making or as a substitute for professional medical judgment. Outputs may be incorrect, incomplete, or misleading. Always consult a qualified clinician.