MLX
GGUF
English
conversational
How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for dattaraj/security-attacks-MITRE to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for dattaraj/security-attacks-MITRE to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dattaraj/security-attacks-MITRE to start chatting
Quick Links

Fine-tuned model for Cybersecurity SOAR usecases.

Base model - microsoft/Phi-3-mini-4k-instruct

Instruction dataset - dattaraj/security-attacks-MITRE

Platform - Apple MLX on Mac M3

Author - Dattaraj Rao

https://in.linkedin.com/in/dattarajrao

Model file - security-attacks-MITRE.gguf

Why fine-tune?

Fine-tuned to act like a Cybersecurity expert. Understand a potential attack scenario. map to MIRE ATT&CK guidelines and provide mitigations. Base model would provide generic recommendations. While the fine-tuned model shows much better domain adoption and MITRE mapping.

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GGUF
Model size
4B params
Architecture
phi3
Hardware compatibility
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Dataset used to train dattaraj/security-attacks-MITRE