Hippocratically LLaMA 3.2: Medical Chatbot (LoRA Fine-tuned)

Model: thebnbrkr/hippocratically_llama3.2
Base: meta-llama/Llama-3.2-3B-Instruct
Fine-tuning: LoRA (via PEFT + TRL’s SFTTrainer)
Dataset: ruslanmv/ai-medical-chatbot (public medical Q&A)


Model Description

hippocratically_llama3.2 is a LoRA-finetuned version of Meta’s LLaMA 3.2B-Instruct model, adapted for clinical dialogue and general medical question-answering. It uses instruction-tuning and parameter-efficient fine-tuning (PEFT) methods to create a compact and responsive healthcare assistant for research and educational use.


Intended Use

  • Medical Q&A chatbot simulations
  • Research on LoRA-based instruction tuning
  • Prompt evaluation in clinical contexts
  • LLM alignment/hallucination analysis

Limitations

  • Not suitable for clinical deployment
  • May hallucinate outdated or unsafe information
  • Doesn't prioritize emergencies unless prompted
  • Lacks real-time patient data or diagnostic context

Training Details

  • Base model: meta-llama/Llama-3.2-3B-Instruct
  • Fine-tuning method: LoRA (r=8, alpha=16, dropout 0.05)
  • Target modules: q_proj, v_proj
  • Trainer: SFTTrainer from trl
  • Batch size: 2
  • Epochs: 1
  • Learning rate: 2e-4
  • Precision: fp16
  • Output dir: ./llama3.2-medical-chat

Example Prompt:

prompt: | How can someone determine their metabolic rate?

Example response:

Metabolic rate can be determined in several ways, depending on the context and level of precision required.

  1. Basal Metabolic Rate (BMR): This is the number of calories your body needs at rest. A commonly used formula to estimate BMR for women is:

    BMR = 655 + (4.35 × weight in lbs) + (4.7 × height in inches) – (4.7 × age in years)

    For men:

    BMR = 66 + (6.23 × weight in lbs) + (12.7 × height in inches) – (6.8 × age in years)

  2. Harris-Benedict Equation: This builds on BMR to estimate Total Daily Energy Expenditure (TDEE) by multiplying the BMR by an activity factor (e.g., 1.2 for sedentary, 1.55 for moderate activity).

  3. Clinical Methods: More accurate tests, like indirect calorimetry, measure oxygen consumption and carbon dioxide production to calculate actual energy expenditure.

  4. Wearables and Apps: Fitness trackers and smart devices offer real-time estimates, though they are less precise.

Always consult a healthcare provider for personalized metabolic assessments or weight management planning.

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