---
language:
- en
- ur
license: apache-2.0
tags:
- medical
- clinical
- icd-10
- billing
- mlx
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-0.5B-Instruct
widget:
- text: "<system>You are the Cognitapp Global ICD-10 Assistant. Extract the primary ICD-10 code.</system> <user>Patient with severe high fever, joint pain, and suspected Dengue from Lahore.</user> <assistant>"
  example_title: "Dengue Case (Regional)"
- text: "<system>You are the Cognitapp Global ICD-10 Assistant. Extract the primary ICD-10 code.</system> <user>65yo male smoker with chronic cough and SOB. Spirometry shows FEV1/FVC < 0.70.</user> <assistant>"
  example_title: "COPD Case (Global)"
---

# Cognitapp-Med-Nano-v1

**Cognitapp-Med-Nano-v1** is a specialized, lightweight medical large language model (LLM) developed by Cognitapp Labs. It is fine-tuned from the Qwen2.5-0.5B architecture to excel at **ICD-10-CM Medical Billing and Clinical Extraction**.

## Key Features
- **Global & Regional Awareness:** Optimized for both international clinical standards.
- **Efficiency:** 0.5B parameters, designed for 100% offline use on mobile and desktop devices via MLX or llama.cpp.
- **Precision:** Trained using prompt-masking to prioritize alphanumeric code accuracy over conversational filler.

## How to use with MLX
```python
from mlx_lm import load, generate

model, tokenizer = load("Cognitapp/Cognitapp-Med-Nano-v1")
prompt = "<system>You are the Cognitapp Global ICD-10 Assistant. Extract the primary ICD-10 code.</system> <user>Patient has 103F fever, body aches, and positive NS1 for Dengue.</user> <assistant>"
response = generate(model, tokenizer, prompt=prompt, max_tokens=10)
print(response)
```

## Intended Use
This model is a supportive tool for medical professionals and billers. It is NOT a diagnostic tool.

## Training Data
Fine-tuned on a balanced dataset of 1,200+ global and regional clinical scenarios including pediatrics, geriatrics, and infectious diseases.

## Disclaimer
All outputs must be verified by a licensed healthcare professional. Cognitapp Labs is not responsible for any clinical or billing errors.