---
license: mit
base_model: meta-llama/Llama-3.2-3B
library_name: peft
tags:
- llama-3.2
- unsloth
- lora
- peft
- fine-tuned
- doctor
- dental
- medical
- instruction-tuning
- adapter
datasets:
- BirdieByte1024/doctor-dental-llama-qa
---

# 🦷 doctor-dental-implant-LoRA-llama3.2-3B

This is a **LoRA adapter** trained on top of [`meta-llama/Llama-3.2-3B`](https://huggingface.co/meta-llama/Llama-3.2-3B) using [Unsloth](https://github.com/unslothai/unsloth), for the purpose of aligning the model to **doctor–patient conversations and dental implant-related Q&A**.

The adapter improves the model's performance in instruction-following and medical dialogue within the dental implant domain (e.g. Straumann® surgical workflows).

---

## 🔧 Model Details

- **Base model:** `meta-llama/Llama-3.2-3B`
- **Adapter type:** LoRA via PEFT
- **Framework:** [Unsloth](https://github.com/unslothai/unsloth)
- **Quantization for training:** QLoRA (bnb 4-bit)
- **Training objective:** Instruction-tuning on domain-specific dialogue
- **Dataset:** `BirdieByte1024/doctor-dental-llama-qa`

---

## 🧠 Dataset

- [`BirdieByte1024/doctor-dental-llama-qa`](https://huggingface.co/datasets/BirdieByte1024/doctor-dental-llama-qa)  
- Includes synthetic doctor–patient chat covering:
  - Straumann® dental implant systems
  - Guided surgery workflows
  - General clinical Q&A

---

## 💬 Expected Prompt Format

```json
{
  "conversation": [
    { "from": "patient", "value": "What is the purpose of a healing abutment?" },
    { "from": "doctor", "value": "It helps shape the gum tissue and protect the implant site during healing." }
  ]
}
```

---

## 💻 How to Use the Adapter

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

# Load base model
base = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B")
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.2-3B")

# Load LoRA adapter
model = PeftModel.from_pretrained(base, "BirdieByte1024/doctor-dental-implant-LoRA-llama3.2-3B")
```

---

## ✅ Intended Use

- Domain adaptation for dental and clinical chatbots
- Offline inference for healthcare-specific assistants
- Safe instruction-following aligned with patient communication

---

## ⚠️ Limitations

- Not a diagnostic tool
- May hallucinate or oversimplify
- Based on non-clinical and synthetic data

---

## 🛠 Authors

Developed by [(BirdieByte1024)](https://huggingface.co/BirdieByte1024)  
Fine-tuned using Unsloth and PEFT

---

## 📜 License

MIT