PHZane
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PCF_ID-1.5B

Question Answering

intrusion-detection

tabular-reasoning

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PHZane commited on Feb 18

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 **PCF_ID-1.5B** is a fine-tuned version of **Qwen2.5-1.5B**, adapted for network intrusion detection using the **Prompt Cast Framework (PCF-ID)**. By transforming structured tabular records into semantically rich **Question–Reasoning–Answer (Q-R-A)** prompts, PCF_ID enables large language models to effectively reason over cybersecurity data.
-PCF_ID-0.5B significantly outperforms:
 - Raw LLMs (e.g., vanilla Qwen2.5-1.5B),
 - Traditional machine learning models (e.g., Random Forest, SVM),
 - Advanced graph neural networks (GNNs).

 **PCF_ID-1.5B** is a fine-tuned version of **Qwen2.5-1.5B**, adapted for network intrusion detection using the **Prompt Cast Framework (PCF-ID)**. By transforming structured tabular records into semantically rich **Question–Reasoning–Answer (Q-R-A)** prompts, PCF_ID enables large language models to effectively reason over cybersecurity data.
+PCF_ID-1.5B significantly outperforms:
 - Raw LLMs (e.g., vanilla Qwen2.5-1.5B),
 - Traditional machine learning models (e.g., Random Forest, SVM),
 - Advanced graph neural networks (GNNs).