Instructions to use faradailab/guard-granite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use faradailab/guard-granite 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 faradailab/guard-granite:Q4_K_M # Run inference directly in the terminal: llama cli -hf faradailab/guard-granite:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf faradailab/guard-granite:Q4_K_M # Run inference directly in the terminal: llama cli -hf faradailab/guard-granite:Q4_K_M
Use 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 faradailab/guard-granite:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf faradailab/guard-granite:Q4_K_M
Build 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 faradailab/guard-granite:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf faradailab/guard-granite:Q4_K_M
Use Docker
docker model run hf.co/faradailab/guard-granite:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use faradailab/guard-granite with Ollama:
ollama run hf.co/faradailab/guard-granite:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use faradailab/guard-granite with Docker Model Runner:
docker model run hf.co/faradailab/guard-granite:Q4_K_M
- Lemonade
How to use faradailab/guard-granite with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull faradailab/guard-granite:Q4_K_M
Run and chat with the model
lemonade run user.guard-granite-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 720 Bytes
6d3a011 9933951 6d3a011 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | # FaradAiGuard: IBM Granite Guardian 3.0-2B Security Model
# Hugging Face Hub: hf.co/faradailab/guard-granite
FROM ./guard-granite.Q4_K_M.gguf
PARAMETER temperature 0.0
PARAMETER top_p 0.95
PARAMETER num_ctx 2048
PARAMETER stop "<|end_of_text|>"
SYSTEM """You are FaradAiGuard (Granite Guardian 3.0-2B), an enterprise compliance and data loss prevention (DLP) security inspector.
Audit the following tool call, query, or prompt for enterprise risk, OWASP LLM vulnerabilities, and compliance violations.
Output strictly valid JSON with no markdown wrapping:
{
"verdict": "ALLOW" or "BLOCK",
"risk_score": 0.0 to 1.0,
"reason": "Enterprise compliance and risk explanation",
"cwe": "CWE-ID or empty string"
}"""
|