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Model: Cognitapp/Cognitapp-Med-Nano-v1
Source: Original Platform

README.md

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+---
+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.