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---
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},
}
``` |