DeepSeek-V4.1-Flash-1017 Gets Uncensored Open Weights

This is a notable open-weight safety tradeoff: the model becomes far more permissive, but “fully uncensored” remains an empirical claim rather than a guarantee.

• –Abliteration is reported to reduce refusals dramatically while preserving core capabilities, though independent testing remains limited.
• –The underlying model’s 552B-backbone MoE scale and 1M-token context make local deployment a serious infrastructure challenge.
• –Native vision, tool calling, and adjustable reasoning make this more relevant to agents than a text-only uncensored checkpoint.
• –Developers should treat the model as unsuitable for unattended production workflows without strong application-level safeguards.