@IndieDevHailey: Guys, local players can now experiment without boundaries. Alibaba's Qwen3.8-27B has been completely obliterated (safety restrictions removed), with the V2 version achieving zero rejection. Even better, MMLU (Massive Multitask Language Understanding) score jumped from 85.3% to 86.3%.

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Summary

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.

Guys, local players can now experiment without boundaries. Alibaba's Qwen3.8-27B has been completely obliterated (safety restrictions removed), with the V2 version achieving zero rejection. Even better, the MMLU score (Massive Multitask Language Understanding, a standard test measuring model knowledge and reasoning ability) has increased from 85.3% to 86.3%, even higher than the original. It uses Complementary Abliteration Blending (mixing two different ablation methods to cancel out each other's drawbacks), completely removing safety alignment, and performance has actually improved. Truly uncensored and still capable.
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Cached at: 08/21/26, 09:09 AM

Folks, local enthusiasts can now play without boundaries.

Alibaba’s Qwen3.8-27B has been completely OBLITERATED—safety restrictions fully removed, with the V2 version having zero refusals.

Better yet, the MMLU (Massive Multitask Language Understanding, a benchmark measuring a model’s knowledge and reasoning capabilities) score rose from 85.3% to 86.3%, surpassing the original version.

By using Complementary Abliteration Blending—a technique that combines two different ablation methods to offset their respective weaknesses—safety alignment was stripped clean, yet performance actually improved.

Truly uncensored, and still highly capable.

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