Qwen Ai Research Qa Q4 K M.gguf

🚀 Qwen AI Research QA Model (Q4_K_M GGUF)

The Qwen AI Research QA Model is tailored for answering AI research questions with high precision and depth, offering efficient inference in the Q4_K_M format.

🚀 Quick Start

The Qwen AI Research QA Model is crafted to answer research - oriented AI questions precisely and in - depth. It's optimized in the Q4_K_M format, enabling efficient inference while ensuring high - quality responses.

✨ Features

• Designed for answering AI research questions with precision and depth.
• Optimized in the Q4_K_M format for efficient inference.
• Suitable for running on local hardware with reduced memory usage.

📦 Installation

To use this model with llama-cpp-python, you first need to install llama-cpp-python.

pip install llama-cpp-python

💻 Usage Examples

Basic Usage

Loading the Model

from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="InduwaraR/qwen-ai-research-qa-q4_k_m.gguf",
    filename="qwen-ai-research-qa-q4_k_m.gguf",
)

Generating a Response

response = llm.create_chat_completion(
    messages=[
        {"role": "user", "content": "What are the latest advancements in AI research?"}
    ]
)
print(response)

📚 Documentation

Model Details

📄 License

This model is open - source and available under the MIT License.

👏 Acknowledgments

This model is hosted by InduwaraR on Hugging Face. Special thanks to the Qwen AI team for their contributions to AI research and development.