SCI Assistant 7B
A specialized language model for spinal cord injury (SCI) information and support, based on OpenHermes-2.5-Mistral-7B with custom LoRA fine-tuning.
Model Description
This model has been fine-tuned specifically to provide accurate, helpful information about spinal cord injuries, including:
- Medical information about SCI conditions and symptoms
- Practical advice for daily living with SCI
- Equipment recommendations for wheelchairs, adaptive technology, etc.
- Exercise and rehabilitation guidance
- Emotional support and community resources
Training Data
The model was trained on curated SCI-related content including:
- Medical literature and research papers
- Patient education materials
- Community forums and discussions
- Rehabilitation guides and resources
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("your-username/sci-assistant-7b")
tokenizer = AutoTokenizer.from_pretrained("your-username/sci-assistant-7b")
# Example usage
prompt = "What are the signs of autonomic dysreflexia?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
Intended Use
- Educational purposes - Learning about SCI conditions and management
- Community support - Providing accessible information to SCI community
- Research - Supporting SCI-related research and development
Limitations
- This model provides educational information only
- Always consult healthcare professionals for medical advice
- Not a replacement for professional medical care
- May not reflect the most recent medical developments
Technical Details
- Base Model: teknium/OpenHermes-2.5-Mistral-7B
- Fine-tuning: LoRA (Low-Rank Adaptation)
- Parameters: ~7 billion
- Precision: FP16
License
Please respect the original OpenHermes-2.5 license terms.
Acknowledgments
Built on the excellent OpenHermes-2.5-Mistral-7B model by Teknium. Training data curated from publicly available SCI educational resources.