--- datasets: - SaisExperiments/Big-Alpaca-Uncensored language: - en base_model: - meta-llama/Llama-3.2-3B-Instruct --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/Evil-Alpaca-3B-L3.2-GGUF This is quantized version of [SaisExperiments/Evil-Alpaca-3B-L3.2](https://huggingface.co/SaisExperiments/Evil-Alpaca-3B-L3.2) created using llama.cpp # Original Model Card This is an experimental? model I have trained over Llama-3.2-3B-Instruct. It is compatible with both Llama3 & Alpaca prompt format. So far it seems to be quite uncensored, it also has a tendency to call the user derogatory terms (whoops >:3)