Instructions to use dattaraj/security-attacks-MITRE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dattaraj/security-attacks-MITRE with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dattaraj/security-attacks-MITRE --local-dir security-attacks-MITRE
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use dattaraj/security-attacks-MITRE with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf dattaraj/security-attacks-MITRE # Run inference directly in the terminal: llama cli -hf dattaraj/security-attacks-MITRE
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf dattaraj/security-attacks-MITRE # Run inference directly in the terminal: llama cli -hf dattaraj/security-attacks-MITRE
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf dattaraj/security-attacks-MITRE # Run inference directly in the terminal: ./build/bin/llama cli -hf dattaraj/security-attacks-MITRE
Use Docker
docker model run hf.co/dattaraj/security-attacks-MITRE
- Llama new
- LM Studio
- Jan
- Ollama
How to use dattaraj/security-attacks-MITRE with Ollama:
ollama run hf.co/dattaraj/security-attacks-MITRE
- Unsloth Desktop
- Docker Model Runner
How to use dattaraj/security-attacks-MITRE with Docker Model Runner:
docker model run hf.co/dattaraj/security-attacks-MITRE
- Lemonade
How to use dattaraj/security-attacks-MITRE with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dattaraj/security-attacks-MITRE
Run and chat with the model
lemonade run user.security-attacks-MITRE-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- dattaraj/security-attacks-MITRE
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language:
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- en
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library_name: mlx
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---
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### Fine-tuned model for Cybersecurity SOAR usecases.
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#### Base model - microsoft/Phi-3-mini-4k-instruct
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#### Instruction dataset - dattaraj/security-attacks-MITRE
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#### Platform - Apple MLX on Mac M3
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#### Author - Dattaraj Rao
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https://in.linkedin.com/in/dattarajrao
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### Why fine-tune?
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Fine-tuned to act like a Cybersecurity expert. Understand a potential attack scenario. map to MIRE ATT&CK guidelines and provide mitigations.
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Base model would provide generic recommendations. While the fine-tuned model shows much better domain adoption and MITRE mapping.
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