---
license: apache-2.0
base_model: Qwen/Qwen2-VL-2B-Instruct
tags:
  - dermatology
  - medical
  - vision-language-model
  - lora
  - indian-health
  - peft
datasets:
  - marmal88/skin_cancer
  - pvlinhk/ISIC2019-full
language:
  - en
---

# DermaAI LoRA Adapter — Indian Skin Type Tuned

Fine-tuned LoRA adapter on top of `Qwen2-VL-2B-Instruct` for clinical dermatological diagnosis
with a specific focus on **South Asian skin types (Fitzpatrick IV–VI)** and Indian treatment protocols.

## Training Data
- **HAM10000** (marmal88/skin_cancer): 10,015 dermoscopic images, 7 diagnostic categories
- **ISIC 2019** (pvlinhk/ISIC2019-full): 25,000+ images, 8 categories

## Capabilities
- Skin lesion morphological description
- Differential diagnosis generation
- Indian pharmacological management (IADVL guidelines)
- Optimized for: Tinea, Psoriasis, Leprosy (Hansen's), Vitiligo, Melanoma, BCC

## Usage
```python
from transformers import AutoProcessor, Qwen2VLForConditionalGeneration
from peft import PeftModel

model = Qwen2VLForConditionalGeneration.from_pretrained("Qwen/Qwen2-VL-2B-Instruct")
model = PeftModel.from_pretrained(model, "hssling/derm-analyzer-adapter")
processor = AutoProcessor.from_pretrained("hssling/derm-analyzer-adapter")
```

## Disclaimer
Research use only. Not a substitute for clinical evaluation by a qualified dermatologist.