Text Generation
GGUF
English
unsloth
red-team
security
penetration-testing
gemma-4
qat
mtp
lora
anthropic-skills
Instructions to use RedTeamLab/Gemma-4-12B-redteam-QAT-MTP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use RedTeamLab/Gemma-4-12B-redteam-QAT-MTP 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 RedTeamLab/Gemma-4-12B-redteam-QAT-MTP 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 RedTeamLab/Gemma-4-12B-redteam-QAT-MTP to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for RedTeamLab/Gemma-4-12B-redteam-QAT-MTP to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="RedTeamLab/Gemma-4-12B-redteam-QAT-MTP", max_seq_length=2048, )
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Darren Bennett
Update README: credit Anthropic skills, lab-only use, deprecation notice for v5
ea9373d verified