How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf dattaraj/security-attacks-MITRE# Run inference directly in the terminal:
llama-cli -hf dattaraj/security-attacks-MITREUse pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf dattaraj/security-attacks-MITRE# Run inference directly in the terminal:
./llama-cli -hf dattaraj/security-attacks-MITREBuild from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf dattaraj/security-attacks-MITRE# Run inference directly in the terminal:
./build/bin/llama-cli -hf dattaraj/security-attacks-MITREUse Docker
docker model run hf.co/dattaraj/security-attacks-MITREQuick 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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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf dattaraj/security-attacks-MITRE# Run inference directly in the terminal: llama-cli -hf dattaraj/security-attacks-MITRE