Qwen2.5 14B CIC ACLARC GGUF

🚀 Llamacpp imatrix Quantizations of Qwen2.5-14B-CIC-ACLARC

This project uses llama.cpp for quantization of the Qwen2.5-14B-CIC-ACLARC model, aiming to provide efficient zero - shot classification for scientometrics and citation analysis.

🚀 Quick Start

Using llama.cpp for quantization. Original model: https://huggingface.co/sknow-lab/Qwen2.5-14B-CIC-ACLARC

💻 Usage Examples

Basic Usage

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

📚 Documentation

Model Information

Citation

@misc{koloveas2025llmspredictcitationintent,
      title={Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs}, 
      author={Paris Koloveas and Serafeim Chatzopoulos and Thanasis Vergoulis and Christos Tryfonopoulos},
      year={2025},
      eprint={2502.14561},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.14561}, 
}

📄 License

This project is licensed under the Apache-2.0 license.