🦷 doctor-dental-implant-Qwen2.5-7B-Instruct (GGUF - F16)

This is the full precision (f16) GGUF version of a model trained for medical chatbot and dental implant assistant tasks. It combines general doctor–patient dialogue understanding with domain-specific Q&A derived from Straumann® dental implant system manuals.

🧠 Based on: Qwen/Qwen2.5-VL-7B-Instruct
🛠️ Finetuned using: Unsloth
📦 Format: GGUF (f16), compatible with llama.cpp, Ollama, LM Studio, and other local inference engines.

📊 Dataset

Merged and instruction-formatted dataset from:

Total: ~900 examples, formatted in Alpaca-style with <|im_end|> as EOS.

🧠 Prompt Format

For Qwen2.5-style use:

<|im_start|>system
You are a helpful and knowledgeable medical assistant.<|im_end|>
<|im_start|>user
What is the purpose of a healing abutment in dental implants?<|im_end|>
<|im_start|>assistant
A healing abutment is used to shape the gum tissue and protect the implant during healing before placing the final crown.<|im_end|>

Or if you're using Alpaca-style:

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
What are the post-op care instructions after implant surgery?

### Response:
Patients are usually advised to avoid chewing on the surgical site, maintain oral hygiene with chlorhexidine rinses, and follow up in 7–10 days.<|im_end|>

🛠 How to Use (LLaMA.cpp / LM Studio / Ollama)

Once downloaded, you can run the model locally via:

🧪 llama.cpp

./main -m doctor-dental-implant-Qwen2.5-7B-Instruct-f16.gguf --prompt "What is a dental implant?"

💻 Ollama (if you've converted the model)

ollama run doctor-dental

🔬 Use Cases

🧑‍⚕️ Patient-facing virtual assistant
🦷 Dental implant Q&A
📚 Medical education simulation
🧪 Domain adaptation benchmarking (healthcare)

⚠️ Limitations

Not for clinical use or medical advice
May hallucinate or provide overly simplified explanations
Training data is synthetic or handbook-derived, not real EMR

📜 License

MIT License

✍️ Author

Created by (BirdieByte1024) as part of an applied research project in medical LLM alignment.