huihui-ai/Llama-3.2-1B-Instruct-abliterated

huihui-ai/Llama-3.2-1B-Instruct-abliterated is a 1 billion parameter instruction-tuned causal language model derived from Llama 3.2, featuring a 32768 token context length. Developed by huihui-ai using an abliteration technique, this model is specifically designed to be an uncensored alternative to its base model. While it generally shows slightly lower performance on standard benchmarks like IF_Eval and MMLU Pro compared to the original Llama-3.2-1B-Instruct, it offers an uncensored response capability for specific use cases.