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

The huihui-ai/Qwen2.5-7B-Instruct-abliterated is a 7.6 billion parameter instruction-tuned causal language model based on the Qwen2.5 architecture, developed by huihui-ai. This model is an uncensored variant of Qwen/Qwen2.5-7B-Instruct, created using an abliteration technique to reduce content moderation. It supports a 131072 token context length and is primarily designed for applications requiring less restrictive content generation across multiple languages.