uncensored

GGUF quantizations of the Qwen-Image-2.1 model for local image generation using ComfyUI, with recommended quantizations and setup instructions for deployment.

A user questions whether uncensored AI models perform better for coding due to fewer content restrictions, seeking evidence and anecdotes from the community.

A permanently modified version of DeepSeek-V4.1-Flash with surgically removed safety guardrails, retaining full capabilities including vision, reasoning, and tools, and demonstrating 100% compliance on HarmBench evaluations.

CyberTiel 35B-A3B is an uncensored 4-bit quantized AI model optimized for coding tasks, outperforming Opus 4.6 medium and being significantly faster than Qwen3.8-27b medium on real codebase issues.

This article presents a comprehensive benchmark of 8 abliterated variants of the Qwen 3.8 27B model against the base model, using weight analysis, KL divergence, 13 benchmarks, and HarmBench refusal tests over 167 GPU hours. The analysis reveals that surgical edits significantly outperform heavy modifications, with aggressive abliteration causing thinking loops in up to 45% of adversarial responses and chat template manipulation detected in some variants.

A fine-tuned version of Qwen3.8-27B that significantly reduces thinking tokens while exceeding key AI benchmarks like ARC-C and ARC-E, optimized for consumer hardware.

dealignai released a cybersecurity-focused weight-modified variant of the 753B-parameter GLM-5.3-FP8 model that reduces refusals for offensive-security tasks such as red-teaming, exploit development, and malware analysis while preserving base capabilities and running natively on Hopper GPUs via stock vLLM.

This article describes an uncensored version of Z.ai's GLM-5.3-Flash model, with safety alignments removed via abliteration, released as a block-FP8 checkpoint for research purposes.

Nous Research releases gpt4-x-vicuna-13b, a Vicuna model trained on over 180k uncensored GPT-4 outputs, with plans to further remove OpenAI censorship.

This article releases GGUF quantizations of the uncensored Qwen3.8-Flash-Next model, a Mixture-of-Experts preview of the Qwen4 architecture designed for llama.cpp with vision support, requiring a custom build for compatibility.

The Qwen3.8-27B-Uncensored is a 27B-parameter AI model with safety alignment removed via abliteration, released on Hugging Face for research purposes without built-in guardrails.

This article shares three uncensored quantized versions of the Qwen3.8-27B model for local deployment. The author has personally tested them and warns to use with caution.

By using Abliteration to modify the weights, someone published an uncensored version of Qwen3.8-27B, drastically lowering the refusal rate and preserving model performance, which has sparked debates on AI safety.

OrcaRouter's uncensored Qwen3.8-27B derivative reduces harmful-prompt refusal to 0-6% but still caveats 27-56% of answers, with mixed performance metrics compared to the base model.

A user inquires about the best uncensored version of the Qwen3.8 27b AI model for reverse engineering legacy code to avoid refusals.

This is an abliterated (refusal-removed) version of the Qwen3.8-27B AI model, released for research purposes like interpretability and red-teaming, with warnings about its lack of safety guardrails.

An uncensored MLX build of Qwen's Qwen3.8-27B model, quantized for Apple Silicon, with safety alignment removed for research purposes.

The Qwen3.8-27B Uncensored Aggressive AI model has been released, featuring K_P quantization and HauhauCS FastMTP for significant performance improvements, with no content refusals and multimodal support.

Rogue Studio launches Rogue 1.0, an AI video-generation tool for creating high-quality uncensored adult content, positioning itself as a sophisticated platform like HBO for television.

This article presents an uncensored version of the Qwen3.8 27B AI model, which has been modified to remove safety refusals and quantized to FP8 for efficiency, intended for research purposes.