Qwen2.5 14B CIC SciCite GGUF
A citation intent classification model fine-tuned based on Qwen2.5-14B-Instruct, specializing in citation analysis tasks in scientific literature.
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Release Time : 2/21/2025
Model Overview
This model is a language model optimized for scientometrics and citation analysis tasks, capable of classifying citation intent in scientific literature.
Model Features
Scientific Citation Analysis
Specialized in classifying citation intent in scientific literature
Zero-shot Classification Capability
Supports zero-shot classification tasks without requiring additional training
Efficient Quantization
Supports matrix quantization via llama.cpp to optimize inference efficiency
Model Capabilities
Citation Intent Classification
Scientific Literature Analysis
Zero-shot Classification
Use Cases
Academic Research
Citation Motivation Analysis
Analyze the motivations and intentions behind citations in scientific papers
Can identify whether citations are used for method comparison, result support, background explanation, etc.
Bibliometric Research
Supports large-scale bibliometric analysis and scientific knowledge graph construction
Enhances the accuracy and depth of citation network analysis
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