Update README.md

README.md

@@ -10,4 +10,46 @@ tags:
 - STIX standard
 - threat intelligence
 - MITRE ATT&CK
----
+---
+
+# QCRI/AZERG-MixTask-Mistral
+
+This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 specialized for Cyber Threat Intelligence (CTI) tasks. It was trained on the AZERG Dataset covering a mixture of all four tasks required for STIX data generation:
+- T1: Entity Detection
+- T2: Entity Type Identification
+- T3: Related Pair Detection
+- T4: Relationship Type Identification
+
+This is the most versatile model in the AZERG collection, capable of handling all STIX extraction sub-tasks.
+
+## Intended Use
+
+This model is intended to be used within the [AZERG framework](https://github.com/QCRI/azerg/)  to extract STIX entities and relationships from security reports. Please check the exact prompts in the framework.
+
+Example Prompt (Task 1: Entity Detection):
+```
+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}
+}
+```