Text Generation
PEFT
Safetensors
English
cybersecurity
cyber-threat-intelligence
threat intelligence
cti
mitre-attack
vulnerability
cvss
cwe
qwen3_5
lora
conversational
Instructions to use BeyondMemory/BeyondCTI-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BeyondMemory/BeyondCTI-27B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "BeyondMemory/BeyondCTI-27B") - Notebooks
- Google Colab
- Kaggle
modal card
Browse files
README.md
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# BeyondCTI-27B
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**BeyondMemory Intelligence** | [Website](https://beyondmemory.io)
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A cyber threat intelligence model fine-tuned from Qwen3.6-27B. It reads vulnerability descriptions and
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threat reports and produces the structured output an analyst actually needs: a CWE class, a CVSS v3.1
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# BeyondCTI-27B
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**BeyondMemory Intelligence** | [Website](https://beyondmemory.io) License: Apache 2.0
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Authors: [Samet "samogod" Gozet](https://x.com/samog0d) & [Safa Karakuş](https://www.linkedin.com/in/sfka/) @ BeyondMemory Intelligence
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A cyber threat intelligence model fine-tuned from Qwen3.6-27B. It reads vulnerability descriptions and
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threat reports and produces the structured output an analyst actually needs: a CWE class, a CVSS v3.1
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