huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2

huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2 is a 7.6 billion parameter instruction-tuned causal language model, derived from Qwen/Qwen2.5-7B-Instruct. This model has been modified using an 'abliteration' technique to remove censorship, making it suitable for applications requiring unfiltered responses. It maintains a substantial 131,072 token context length and shows competitive performance across various benchmarks, particularly excelling in IF_Eval.