Instructions to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel",
	filename="unsloth.F16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16
# Run inference directly in the terminal:
llama-cli -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16
# Run inference directly in the terminal:
llama-cli -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16
# Run inference directly in the terminal:
./llama-cli -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16

Use Docker

docker model run hf.co/BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16

LM Studio
Jan
Ollama
How to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with Ollama:
```
ollama run hf.co/BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16
```

Unsloth Studio

How to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel to start chatting

Docker Model Runner
How to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with Docker Model Runner:
```
docker model run hf.co/BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16
```

Lemonade

How to use BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel:F16

Run and chat with the model

lemonade run user.doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct-FullModel-F16

List all available models

lemonade list

🦷 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.

Downloads last month: 8

GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

16-bit

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