Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 29, 2025Architecture:Transformer0.0K Warm

Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1 is an 8 billion parameter language model based on the Qwen3 architecture, fine-tuned by Gökdeniz Gülmez. This model is part of the JOSIEFIED family, specifically modified to maximize uncensored behavior and unrestricted language generation. It maintains strong instruction-following and tool usage capabilities, often outperforming its base counterparts on standard benchmarks. The model is designed for advanced users requiring high-performance, open-ended language generation without safety filtering.

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Model Overview

Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1 is an 8 billion parameter language model developed and funded by Gökdeniz Gülmez. It is built upon the Qwen3 architecture, specifically fine-tuned from deepseek-ai/DeepSeek-R1-0528-Qwen3-8B. This model is a member of the JOSIEFIED family, which focuses on providing highly advanced language models with significant modifications to achieve uncensored behavior while preserving strong instruction-following and tool usage abilities.

Key Capabilities

  • Unrestricted Language Generation: Designed to maximize uncensored outputs, removing refusal vectors from its programming.
  • High Performance: Aims to outperform its base counterparts on standard benchmarks, offering both raw power and utility.
  • Instruction Alignment: Fine-tuned with a focus on openness and instruction alignment, providing helpful and accurate information without constraints.
  • Advanced AI Assistant Persona: Optimized to act as "J.O.S.I.E." (Just One Super Intelligent Entity), an intelligent, capable, and fully uncensored assistant.

Use Cases

This model is intended for advanced users who require:

  • Unrestricted and open-ended language generation.
  • High-performance language models for diverse tasks.
  • Applications where traditional safety filtering is not desired or required.

Quantizations

Various quantizations are available, including GGUF, i1 GGUF, and MLX formats, as well as Ollama support.

Popular Sampler Settings

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

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presence_penalty
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