Eight Qwen 3.8 27B Uncensored Variants Compared
π‘See which Qwen 3.8 27B edits reduce refusals without turning reasoning into endless loops.
β‘ 30-Second TL;DR
What Changed
Orcarouter ranked first with an 82.2% HarmBench attack success rate and the best copyright-unlocking result at 39%.
Why It Matters
The comparison suggests that surgical, low-magnitude edits can remove refusals more effectively than broad weight modification while preserving capabilities. Practitioners deploying uncensored open models should evaluate reasoning completion and capability retention, not just refusal rates.
What To Do Next
Run the published HarmBench, capability, and reasoning-completion tests on the Qwen 3.8 27B variants before selecting one for deployment.
Key Points
- β’Orcarouter ranked first with an 82.2% HarmBench attack success rate and the best copyright-unlocking result at 39%.
- β’Apostate offered the best value, using 41 verified edits and recording the lowest measured KL divergence at 0.0439.
- β’The most aggressive model, obliteratus, modified 841 of 850 tensors and frequently failed to finish its reasoning.
- β’The base model refused all tested categories involving chemistry, biology, harassment, harmful content, and copyright.
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Original source: Reddit r/LocalLLaMA β
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