OrcaRouter's uncensored Qwen3.8-27B still caveats 27–56% of harmful answers
Summary
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.
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orcarouter/OrcaSAQ-2-Cyber-27B-Uncensored-GGUF
OrcaRouter released OrcaSAQ-2-Cyber-27B-Uncensored-GGUF, a quantized 27B reasoning model that compresses an uncensored Qwen3.8-27B from 54.7 GB BF16 to 15.7 GB with only +0.80% perplexity degradation, 94.4% Top-1 agreement, and 262K context for local deployment via llama.cpp, Ollama, and LM Studio.
@shangdu2005: 比上个版本更加无敌的。 Qwen3.8 27B越狱无审查版本。 这两个自行测试,谨慎使用。 1.orcarouter https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-FP8…
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.
LOL, my timeline was flooded with this guy's shock. Someone just bypassed the safety guardrails of Qwen3.8-27B. OrcaRouter had previously released a Qwen3.8-27B-Uncensored-FP8 on Hugging Face. They used Abliteration…
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/Qwen3.8-27B-Uncensored
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.
8 uncensored Qwen 3.8 27B variants, one base, 167 GPU hours - Abliterlitics
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.