Instructions to use nemanisri/security-guardian-gemma4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use nemanisri/security-guardian-gemma4 with 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 nemanisri/security-guardian-gemma4 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 nemanisri/security-guardian-gemma4 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nemanisri/security-guardian-gemma4 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nemanisri/security-guardian-gemma4", max_seq_length=2048, )
SecurityGuardian โ Gemma 4 E2B Fine-tuned
A fine-tuned Gemma 4 E2B model that explains mobile security threats in plain language. Runs completely offline.
Built for Gemma 4 Good Hackathon 2026
Training
- Base model: gemma-4-E2B-it
- Method: LoRA (Unsloth)
- Steps: 60
- Final loss: 0.021
Example
Input: ALERT: App 'FreeFlashlight' requested ACCESS_FINE_LOCATION, READ_CONTACTS, SEND_SMS, RECORD_AUDIO
Output: This is a suspicious request. A flashlight app only needs to turn on your screen light. RECOMMENDATION: Do not install this app.
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support