初始化项目，由ModelHub XC社区提供模型

Model: QCRI/AZERG-T1-Mistral
Source: Original Platform

README.md

@@ -0,0 +1,50 @@
+---
+license: apache-2.0
+datasets:
+- QCRI/AZERG-Dataset
+language:
+- en
+base_model:
+- mistralai/Mistral-7B-Instruct-v0.3
+tags:
+- STIX standard
+- threat intelligence
+- MITRE ATT&CK
+---
+
+# QCRI/AZERG-T1-Mistral
+This model is a fine-tuned version of `mistralai/Mistral-7B-Instruct-v0.3` specialized for `Task 1: STIX Entity Detection`. It has been trained on the [QCRI/AZERG-Dataset](https://huggingface.co/datasets/QCRI/AZERG-Dataset) to identify CTI-related entities (e.g., malware names, threat actors, vulnerabilities) in unstructured text.
+
+This is a specialist model designed for high performance on entity detection within the [AZERG framework](https://github.com/QCRI/azerg/).
+
+## Intended Use
+Use this model to extract potential STIX entities from a given security text passage.
+
+## Example Prompt:
+
+```
+Instruction:
+You are a helpful threat intelligence analyst. Your task is to extract all STIX entities mentioned in the input. To help you, here is a list of the possible STIX entity types.
+STIX entity types:
+- ATTACK_PATTERN: A type of TTP that describes ways that adversaries attempt to compromise targets. (e.g., T1051, T1548.001, etc.)
+[...]
+
+Answer in the following format: <entities>LIST OF IDENTIFIED ENTITIES SEPARATED BY PIPE |</entities>
+
+Input:
+- Text Passage: [INPUT TEXT]
+
+Response:
+```
+
+## Citation
+If you use this model, please cite our paper:
+
+```
+@article{lekssays2025azerg,
+  title={From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction},
+  author={Lekssays, Ahmed and Sencar, Husrev Taha and Yu, Ting},
+  journal={arXiv preprint arXiv:2507.16576},
+  year={2025}
+}
+```