Create README.md (#1)

- Create README.md (8430b5ad6a2608639e3e3bd13e192ec0d886bb12)

README.md

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+---
+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:
+```bash
+pip install llama-cpp-python
+```
+
+### Loading the Model
+```python
+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
+```python
+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.