DealignAI releases 'abliterated' uncensored fork of DeepSeek-V4.1-Flash
Researchers behind the dealignai project published a modified version of DeepSeek's V4.1-Flash model with its safety refusal circuitry surgically removed at the weight level, while preserving core capabilities like reasoning, vision, and its 1M-token context. The team says the checkpoint loads like a standard model with no special code needed, and claims HarmBench testing shows a 100% attack success rate for harmful prompts across both low and high reasoning effort settings, compared to the base model's much lower compliance rate.
GoKawiil's interpretation of the reporting above, not reported fact.
This release demonstrates that safety alignment in large open-weight models can be selectively stripped out without degrading the underlying capability, undermining the durability of guardrails as a defense against misuse. It also highlights a growing ecosystem of third-party actors producing 'uncensored' forks of major AI labs' models, raising questions about how model providers can protect downstream deployments once weights are public.
- A third-party group removed DeepSeek-V4.1-Flash's safety guardrails while keeping its reasoning, vision, and long-context abilities intact.
- The modified model reportedly achieved a 100% harmful-response rate on HarmBench-320 tests, versus much lower rates for the original.
- The case underscores how open-weight releases remain vulnerable to permanent safety-layer removal by outside actors.
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Published there as: “DeepSeek v4.1 Flash Uncensored”
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