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

Model Overview

Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 is a 7.6 billion parameter instruction-tuned model, developed by Gökdeniz Gülmez. It is built upon the Qwen2.5-7B base model and has been further fine-tuned on a custom dataset to provide uncensored responses and improved instruction following. The model is designed to function as an "Outstandingly Smart Intelligent Entity" (J.O.S.I.E.), with all refusal vectors removed from its programming.

Key Capabilities

• Uncensored Assistance: Optimized to provide direct answers without refusal, as per its core programming.
• Extended Context Length: Supports a substantial context window of up to 131,072 tokens, enabling processing of very long inputs.
• Multilingual Support: Inherits multilingual capabilities from its Qwen2.5 base, supporting over 29 languages including Chinese, English, French, Spanish, and more.
• Instruction Following: Enhanced for better adherence to user instructions and system prompts, facilitating role-play and structured output generation.

Use Cases

This model is particularly suited for applications requiring an AI assistant that can provide unfiltered and direct responses across a wide range of topics. Its design makes it ideal for scenarios where traditional AI models might refuse certain queries due to content policies, offering a tool for users seeking comprehensive and unconstrained information or creative assistance.