Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+base_model: meta-llama/Llama-3.2-3B
+tags:
+- llama-3.2
+- unsloth
+- fine-tuned
+- gguf
+- doctor
+- dental
+- medical
+- chat
+- instruction-tuning
+datasets:
+- BirdieByte1024/doctor-dental-llama-qa
+---
+
+# 🦷 doctor-dental-implant-llama3.2-3B-full-model
+
+This model is a fine-tuned version of `meta-llama/Llama-3.2-3B`, trained using the [Unsloth](https://github.com/unslothai/unsloth) framework on a domain-specific instruction dataset focused on **medical** and **dental implant conversations**.
+
+The model has been optimized for **chat-style reasoning** in doctor–patient scenarios, particularly within the domain of **Straumann® dental implant systems**, as well as general medical question answering.
+
+---
+
+## 🔍 Model Details
+
+- **Base model:** `meta-llama/Llama-3.2-3B`
+- **Training framework:** [Unsloth](https://github.com/unslothai/unsloth) with LoRA + QLoRA support
+- **Training format:** Conversational JSON with `{"from": "patient"/"doctor", "value": ...}` messages
+- **Checkpoint format:** Full model merged, usable as standard HF or GGUF (Ollama / llama.cpp)
+- **Tokenizer:** Inherited from base model
+- **Model size:** 3B parameters (efficient for consumer-grade inference)
+
+---
+
+## 📚 Dataset
+
+This model was trained on:
+- [`BirdieByte1024/doctor-dental-llama-qa`](https://huggingface.co/datasets/BirdieByte1024/doctor-dental-llama-qa)
+
+The dataset contains synthetic and handbook-derived doctor-patient conversations focused on:
+- Dental implant systems (e.g. surgical kits, guided procedures)
+- General medical Q&A relevant to clinics and telemedicine
+- Clinical assistant-style instruction-following
+
+---
+
+## 💬 Prompt Format
+
+The model expects a **chat-style format**:
+
+```
+{
+  "conversation": [
+    { "from": "patient", "value": "What are the advantages of guided implant surgery?" },
+    { "from": "doctor", "value": "Guided surgery improves accuracy, safety, and esthetic outcomes." }
+  ]
+}
+```
+
+---
+
+## ✅ Intended Use
+
+- Virtual assistants in dental or medical Q&A
+- Instruction-tuned experimentation on health topics
+- Local chatbot agents (Ollama / llama.cpp compatible)
+
+---
+
+## ⚠️ Limitations
+
+- Model is not a medical device or diagnostic tool
+- Hallucinations and factual errors may occur
+- Content was fine-tuned using synthetic and handbook-based sources (not real EMR)
+
+---
+
+## 🧪 Example Prompt
+
+```json
+{
+  "conversation": [
+    { "from": "human", "value": "What should I expect after a Straumann implant surgery?" },
+    { "from": "assistant", "value": "[MODEL RESPONSE HERE]" }
+  ]
+}
+```
+
+---
+
+## 🛠 Deployment
+
+### Local Use with Hugging Face Transformers
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("BirdieByte1024/doctor-dental-implant-llama3.2-3B-full-model")
+model = AutoModelForCausalLM.from_pretrained("BirdieByte1024/doctor-dental-implant-llama3.2-3B-full-model")
+```
+
+### GGUF / Ollama / llama.cpp
+
+```bash
+ollama run doctor-dental-llama3.2
+```
+
+> If using a local `Modelfile`, ensure the prompt template matches chat formatting (no Alpaca-style).
+
+---
+
+## ✍️ Author
+
+Created by [(BirdieByte1024)](https://huggingface.co/BirdieByte1024) as part of a medical AI research project using Unsloth and LLaMA 3.2.
+
+---
+
+## 📜 License
+
+MIT