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---
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language:
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- en
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license: mit
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tags:
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- medical
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- orthopedics
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- prosthetics
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- orthotics
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- healthcare
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- fine-tuned
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base_model: microsoft/phi-2
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pipeline_tag: text-generation
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---
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# ortho-tech-llm
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A domain-specific language model fine-tuned on orthopedic and prosthetic medical documentation.
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## Model Description
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This model has been fine-tuned using LoRA (Low-Rank Adaptation) on specialized medical
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content related to:
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- Upper limb prosthetics
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- Lower limb orthotics
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- Transhumeral prostheses
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- Anatomical considerations for prosthetic fitting
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## Intended Use
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This model is designed for:
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- Educational purposes in orthopedic technology
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- Assistive chatbot for prosthetics/orthotics information
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- Research and development in medical AI
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**Note**: This model is NOT intended for clinical diagnosis or treatment decisions.
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## Training Data
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The model was trained on educational materials including:
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- Upper limb prosthetics anatomy
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- Lower limb orthotic systems
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- Transhumeral prosthetic documentation
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/ortho-tech-llm")
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tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/ortho-tech-llm")
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prompt = "### Instruction:\nExplain upper limb prosthetics\n\n### Response:\n"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=200)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Limitations
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- Training data is limited to specific educational materials
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- May not cover all aspects of orthopedic technology
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- Should be verified by medical professionals before use
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## License
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MIT License
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