metadata

license: mit
language:
  - en
base_model:
  - Qwen/Qwen2.5-3B-Instruct
pipeline_tag: question-answering

Qwen AI Research QA Model (Q4_K_M GGUF)

Model Overview

The Qwen AI Research QA Model is designed for answering research-oriented AI questions with a focus on precision and depth. This model is optimized in the Q4_K_M format for efficient inference while maintaining high-quality responses.

How to Use

To use this model with llama-cpp-python, follow these steps:

Installation

Make sure you have llama-cpp-python installed:

pip install llama-cpp-python

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)

Model Details

Model Name: Qwen AI Research QA
Format: GGUF (Q4_K_M Quantization)
Primary Use Case: AI research question answering
Inference Framework: llama-cpp-python
Optimized for: Running on local hardware with reduced memory usage

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.