---
license: apache-2.0
datasets:
- kejian/ACL-ARC
language:
- en
metrics:
- f1
base_model:
- Qwen/Qwen2.5-14B-Instruct
pipeline_tag: zero-shot-classification
library_name: transformers
tags:
- scientometrics
- citation_analysis
- citation_intent_classification
---


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

Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization.

Original model: https://huggingface.co/sknow-lab/Qwen2.5-14B-CIC-ACLARC

## Prompt format

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


# 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}, 
}
```