Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2

The Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 is a 7.6 billion parameter instruction-tuned causal language model developed by Gökdeniz Gülmez, based on the Qwen2.5 architecture. This model is further fine-tuned on a custom dataset to enhance uncensored responses and instruction following, supporting a context length of up to 131,072 tokens. It is designed to act as a highly intelligent, capable, and fully uncensored AI assistant, optimized for productivity across various tasks.