---
language:
- en
license: mit
tags:
- medical
- orthopedics
- prosthetics
- orthotics
- healthcare
- fine-tuned
base_model: microsoft/phi-2
pipeline_tag: text-generation
---

# ortho-tech-llm

A domain-specific language model fine-tuned on orthopedic and prosthetic medical documentation.

## Model Description

This model has been fine-tuned using LoRA (Low-Rank Adaptation) on specialized medical 
content related to:
- Upper limb prosthetics
- Lower limb orthotics
- Transhumeral prostheses
- Anatomical considerations for prosthetic fitting

## Intended Use

This model is designed for:
- Educational purposes in orthopedic technology
- Assistive chatbot for prosthetics/orthotics information
- Research and development in medical AI

**Note**: This model is NOT intended for clinical diagnosis or treatment decisions.

## Training Data

The model was trained on educational materials including:
- Upper limb prosthetics anatomy
- Lower limb orthotic systems
- Transhumeral prosthetic documentation

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/ortho-tech-llm")
tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/ortho-tech-llm")

prompt = "### Instruction:\nExplain upper limb prosthetics\n\n### Response:\n"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

## Limitations

- Training data is limited to specific educational materials
- May not cover all aspects of orthopedic technology
- Should be verified by medical professionals before use

## License

MIT License