rodrigoramosrs/qwen3-4b-dotnet-specialist

Qwen3 4B Dotnet Specialist Chatbot 🤖

Welcome to the official Hugging Face Space for the model rodrigoramosrs/qwen3-4b-dotnet-specialist.

This Space provides an interactive chat interface powered by Gradio, allowing you to test and explore the capabilities of the Qwen3 4B Dotnet Specialist model in real time.

🚀 Features

• —Real-time chat with the Qwen3 4B Dotnet Specialist model.
• —Focused on .NET development, C#, and runtime expertise.
• —Adjustable parameters:
• —System message → define the assistant's role or personality.
• —Max new tokens → control the length of responses.
• —Temperature → adjust creativity vs. determinism.
• —Top-p (nucleus sampling) → fine-tune diversity in responses.

🛠️ Technologies

• —Gradio → interactive web interface.
• —Hugging Face Hub → model hosting and inference.

📦 Installation (Local Development)

Clone the Space and run locally:

git clone https://huggingface.co/spaces/rodrigoramosrs/qwen3-4b-dotnet-specialist
cd qwen3-4b-dotnet-specialist
pip install -r requirements.txt
python app.py

📂 Project Structure

/space-root
│── app.py              # Main application code
│── requirements.txt    # Dependencies
│── README.md           # Documentation (this file)

✨ Demo

You can interact directly with the chatbot in this Space: Qwen3 4B Dotnet Specialist Chatbot

Try asking questions about:

• —.NET runtime internals
• —C# best practices
• —Performance optimization
• —Software architecture patterns

🧑‍💻 Usage Example (Python)

You can also call the model programmatically using the Hugging Face InferenceClient:

from huggingface_hub import InferenceClient

# Initialize client with your Hugging Face token
client = InferenceClient(model="rodrigoramosrs/qwen3-4b-dotnet-specialist", token="YOUR_HF_TOKEN")

# Example conversation
messages = [
    {"role": "system", "content": "You are a helpful assistant specialized in .NET."},
    {"role": "user", "content": "Explain the difference between async and await in C#."}
]

response = client.chat_completion(messages, max_tokens=512, temperature=0.7, top_p=0.95)

print(response.choices[0].message["content"])

🧑‍💻 Author

Developed by Rodrigo Ramos Model: Qwen3 4B Dotnet Specialist

📖 License

This Space and model are released under the terms specified on the Hugging Face model card. Please check the model page for details about usage rights and limitations.

🤝 Contributing

Contributions, suggestions, and improvements are welcome! If you'd like to enhance this Space:

1. 1.Fork the repository.
2. 2.Make your changes.
3. 3.Submit a pull request.

📬 Contact

For questions, collaborations, or feedback, reach out via Hugging Face profile: Rodrigo Ramos

⭐ Acknowledgements

• —Hugging Face team for providing the platform and hosting.
• —Gradio for the interactive interface.
• —Qwen models for enabling advanced reasoning and coding support.