huihui-ai/Huihui-Qwen3-8B-abliterated-v2

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jun 18, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

The huihui-ai/Huihui-Qwen3-8B-abliterated-v2 is an 8 billion parameter Qwen3-based causal language model with a 32768 token context length. Developed by huihui-ai, this model has undergone 'abliteration' to significantly reduce safety filtering and refusals, making it an uncensored version of the original Qwen3-8B. It is primarily designed for research and experimental use cases where unfiltered content generation is desired.

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Overview

The huihui-ai/Huihui-Qwen3-8B-abliterated-v2 is an 8 billion parameter language model built upon the Qwen3-8B architecture, featuring a 32768 token context window. This version has been specifically modified using a technique called 'abliteration' to remove refusal behaviors and significantly reduce safety filtering, resulting in an uncensored model. This iteration is an improvement over its predecessor, huihui-ai/Qwen3-8B-abliterated, with a new and faster ablation method yielding better results and addressing issues like garbled codes in the initial layer.

Key Capabilities

  • Uncensored Content Generation: Designed to produce responses without typical safety filters or refusals.
  • Qwen3-8B Foundation: Leverages the robust capabilities of the Qwen3-8B base model.
  • Improved Abliteration: Utilizes an enhanced method for refusal removal, offering better performance.
  • Ollama Integration: Directly available for use with Ollama via huihui_ai/qwen3-abliterated:8b-v2.

Good For

  • Research and Experimentation: Ideal for exploring the boundaries of LLM responses without censorship.
  • Controlled Environments: Suitable for testing scenarios where unfiltered output is intentionally sought.
  • Specific Use Cases: For applications requiring content that might otherwise be filtered by standard safety mechanisms, with full user responsibility for outputs.

Popular Sampler Settings

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

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
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