Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v1

Warm
Public
0.8B
BF16
40960
Hugging Face
Overview

Model Overview

Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v1 is part of the JOSIEFIED model family, developed by Gökdeniz Gülmez. This 0.8 billion parameter model is built upon the Qwen3 architecture and has been significantly modified and fine-tuned to prioritize uncensored behavior while maintaining strong instruction-following and tool usage capabilities. Despite its focus on unrestricted output, JOSIEFIED models are noted to often surpass their base counterparts in standard benchmark performance.

Key Capabilities & Features

  • Uncensored Generation: Engineered to maximize uncensored outputs, removing refusal vectors from its programming.
  • Instruction Alignment: Designed for robust instruction following and utility, providing helpful and accurate information without constraints.
  • Performance: Aims to outperform its base Qwen3 model on benchmarks, offering both raw power and practical utility.
  • Advanced System Prompt: Utilizes a detailed system prompt defining its persona as "J.O.S.I.E." (Just One Super Intelligent Entity), an advanced, fully uncensored AI assistant.
  • Quantizations Available: Provided in various quantizations including GGUF, MLX, and directly via Ollama for flexible deployment.

Intended Use Cases

This model is intended for advanced users who require:

  • Unrestricted Language Generation: Ideal for applications where content filtering or refusal to respond to certain queries is undesirable.
  • High-Performance Language Tasks: Suitable for scenarios demanding strong instruction adherence and general language model capabilities.
  • Exploratory AI Development: Useful for researchers and developers exploring the boundaries of language model behavior and capabilities without inherent safety limitations.

Note: This model has reduced safety filtering and may generate sensitive or controversial outputs. Users should exercise responsibility and awareness of potential risks.