Update README.md

README.md

@@ -1,5 +1,103 @@
----
-license: mit
-tags:
-- unsloth
----
+---
+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