--- library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-3B-Instruct tags: - abliterated - uncensored --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/Llama-3.2-3B-Instruct-abliterated-GGUF This is quantized version of [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) created using llama.cpp # Original Model Card # 🦙 Llama-3.2-3B-Instruct-abliterated This is an uncensored version of Llama 3.2 3B Instruct created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it). Special thanks to [@FailSpy](https://huggingface.co/failspy) for the original code and technique. Please follow him if you're interested in abliterated models. ## Evaluations The following data has been re-evaluated and calculated as the average for each test. | Benchmark | Llama-3.2-3B-Instruct | Llama-3.2-3B-Instruct-abliterated | |-------------|-----------------------|-----------------------------------| | IF_Eval | 76.55 | **76.76** | | MMLU Pro | 27.88 | **28.00** | | TruthfulQA | 50.55 | **50.73** | | BBH | 41.81 | **41.86** | | GPQA | 28.39 | **28.41** | The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated/blob/main/eval.sh)