abliteration

AllModels is a newly launched tool on Product Hunt for exploring every abliterated (jailbreak-refusal-removed) AI model available.

AbliteratedOutTheBox 是一个 llama.cpp 分支，可在推理时对任意加载的模型实时执行 abliteration（去除对齐/拒绝机制），无需微调、无需额外文件，也不占用额外显存。

dealignai 发布 DeepSeek V4.1 Flash 1017 的「完全无审查」版本，通过移除拒答行为实现，同时保留视觉、视频、工具调用、推理档位和 1M token 上下文等原始能力，采用原生 FP8 (e4m3) 权重与 FP4 MoE 专家，无模板越狱或系统提示捷径。

A Hugging Face release of DeepSeek-V4.1-Flash-1017 with refusal behavior removed via abliteration, shipped in native FP8 (e4m3) weights with FP4 MoE experts while preserving vision, video, tool calling, reasoning tiers, and 1M-token context. The model card emphasizes it is not a quantized derivative, not a chat-template jailbreak, and not LoRA/RLHF-based — the edited weights are the model.

Abliteration CEO argues that AI refusals won't stop determined hackers and that Congress should rely on hard data rather than hype before regulating AI cyber risks, alongside the release of their abliterated-model-large-v2 based on GLM-5.3.

Tech Against Terrorism's latest Counter-Terrorism AI Benchmark report finds that most AI models, both open and closed-weight, can be jailbroken or 'abliterated' to assist terrorist and extremist activity, with Alibaba's Qwen model being stripped of guardrails within 24 hours and used to build a neo-Nazi chatbot.

AtomicChat released an abliterated GGUF of Qwen-Image-2.1-Turbo's text encoder (Qwen3-VL-8B-Instruct) with the refusal direction projected out, dropping chat refusals from 88.9% to 1.2% with no measurable MMLU loss. Benchmarks on 45 sensitive prompts show no change in image output, since the stock Qwen-Image pipeline has no safety checker.

ProjectDiscovery researchers show that fine-tuned or abliterated open-weight models can hide remote-payload backdoors for under $50, demonstrating a poisoning pipeline that exfiltrates credentials from Qwen2.5-7B inside OpenAI's Codex CLI without tripping existing evals.

A Hugging Face release packages the Qwen3.8-Flash-Next abliterated GSQ-RCO quantizations with a 480KB control vector for Strata, enabling runtime refusal removal on local GPUs without altering model weights.

Hugging Face removed an abliterated GLM-5.3 model explicitly labeled for offensive cyberattacks, days after an Anthropic report showed GLM-5.3 safeguards fail completely after abliteration and NIST called it the most capable open-weight model for cyber offense. The identical weights remain downloadable under the same name minus the offensive framing, exposing the limits of name-based moderation.

发布了一个基于 ISTA-DASLab GSQ-RCO 量化版 Qwen3.8-Flash-Next 的「消融版」(abliterated) GGUF 模型，通过在已量化张量中直接移植 144 个去除拒答方向的张量，完整保留 GSQ 学到的量化参数，提供 IQ3_S/IQ3_XXS/IQ2_XS/Q2_0 等量化档位。

A discussion on how fine-tuning on an abliterated base model inherits safety behaviors, with eval results showing mixed outcomes and comparisons to Claude models, highlighting the need for auditing.

The article critiques the safety of open-weight AI models, highlighting the ease of removing safeguards like 'abliteration,' and proposes government regulation as a solution for future AI governance.

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.

Abliteration.ai is a startup that commercializes the removal of AI model guardrails, offering unfiltered access to models like GLM-5.3 for offensive cyber and red-teaming work, while sparking debates on AI safety and potential misuse.

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.

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.

Ornith 1.5 9B Abliterated, an experimental MLX derivative, is now available in 4-bit, 8-bit, and BF16 builds for Apple Silicon, designed to reduce refusal behavior while maintaining capabilities for research and legitimate local use.

Alibaba's Qwen3.8-27B model's safety restrictions have been completely removed, with the V2 version achieving zero rejection, and the MMLU score improved to 86.3%, using complementary ablation blending to achieve uncensored and stronger performance.

A new uncensored AI model, Qwen3.8-27B-OBLITERATED, is released with zero refusal on harmful prompts, optimized for cybersecurity tasks and jailbreaking, featuring a novel abliteration blending technique.