Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 29, 2025Architecture:Transformer0.2K Warm

The Josiefied-Qwen3-8B-abliterated-v1 is an 8 billion parameter language model developed by Gökdeniz Gülmez, based on the Qwen3 architecture with a 32768 token context length. This model is specifically fine-tuned to maximize uncensored behavior and instruction-following abilities, while maintaining tool usage. It is designed for advanced users requiring unrestricted, high-performance language generation, often outperforming its base counterparts on standard benchmarks.

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Overview

Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 is part of the JOSIEFIED model family, developed by Gökdeniz Gülmez. This 8 billion parameter model is built upon the Qwen3 architecture and has been significantly modified, or "abliterated," and fine-tuned to prioritize uncensored behavior without compromising its ability to follow instructions or use tools. Despite its focus on unrestricted output, the JOSIEFIED models are noted for often outperforming their base counterparts on standard benchmarks.

Key Capabilities

  • Uncensored Language Generation: Designed to provide unrestricted responses, with refusal vectors removed from its programming.
  • Strong Instruction Following: Optimized for productivity, providing helpful and accurate information without constraints.
  • Tool Usage: Maintains robust tool usage capabilities.
  • Performance: Aims to deliver high performance, often surpassing base models in benchmarks.

Intended Use Cases

This model is intended for advanced users who require a highly capable and unrestricted language model for various applications. Its design makes it suitable for scenarios where traditional safety filters might hinder desired outputs, offering a powerful and utility-focused AI assistant. Users should be aware that the model has reduced safety filtering and may generate sensitive or controversial content, and should be used responsibly.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
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presence_penalty
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