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

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