DeepSeek v4.1 Flash Uncensored

DeepSeek v4.1 Flash Uncensored(huggingface.co)

60 points by soltanov 7 days ago | 28 comments

crooked-v 7 days ago |

I've seen some people complain about the work of dealign.ai and similar groups, but personally, I fully support it. If LLMs have a lasting effect on society, I'd prefer to see some options that don't have generic corpo-speak anti-liability status quo guards encoded into them by default.

esseph 7 days ago | |

> If LLMs have a lasting effect on society, I'd prefer to see some options that don't have generic corpo-speak anti-liability status quo guards encoded into them by default.

Non-zero chance the lasting impact LLMs have are a bioweapon.

https://www.nytimes.com/2026/09/10/us/politics/anthropic-ai-...

dd8601fn 7 days ago | | |

I wouldn’t read too far into that. Claude has busted me down to Haiku multiple times for asking middle school level genetics and biology questions. It’s silly fast about deciding you might be al qaeda.

I’m a thoroughly average guy. I’m not capable of asking competent supervillain questions.

And Anthropic said they couldn’t say if any of the “bioweapon” safeguards went off on nefarious efforts. I’m probably in those numbers.

So read it as marketing more than something to lose sleep over. They’re mostly gating stuff a sufficiently motivated person would find with a library card.

tacomagick 7 days ago | | |

Non-zero chance if LLMs have access to the data required to make a bioweapon a regular person can do so too. Non-zero chance every second a meteor could hit you.

__rito__ 7 days ago | | |

How about developing counters to said bioweapons? That capability should be commoditized too, IMO.

Jemm 7 days ago | | |

You could say the same thing about libraries and education.

63stack 7 days ago | | |

Coming straight from the Anthropic marketing department

pullstart 7 days ago |

Most of what these models gate is stuff you can find with a library card. The safety filter is more about liability than actual prevention.

eddyg 7 days ago | |

“Available knowledge” is not “usable capability”.

tacomagick 7 days ago |

I do not like these "surgical removals" and would rather prefer a pass over from a tool like Heretic. These surgical removals often trigger and analyze the activated neurons and erase them. This worked fine on older models where a single refusal vector existed. Now these "abliterated" models all suffer from catastrophic breakage because they are not as simple anymore. HauhauCS (on HF) for example, makes great uncensored models although they often work on smaller models rather than large ones like this.

thulle 7 days ago | |

> Heretic is a tool that removes censorship (aka "safety alignment") from transformer-based language models without expensive post-training. It combines an advanced implementation of directional ablation, also known as "abliteration", with a TPE-based parameter optimizer powered by Optuna.

> This approach enables Heretic to work completely automatically. Heretic finds high-quality abliteration parameters by co-minimizing the number of refusals and the KL divergence from the original model. This results in a decensored model that retains as much of the original model's intelligence as possible. Using Heretic does not require an understanding of transformer internals. In fact, anyone who knows how to run a command-line program can use Heretic to decensor language models.

Abliteration seems to be what Heretic does?

> Now these "abliterated" models all suffer from catastrophic breakage because they are not as simple anymore.

I'm not knowledgeable about each step in the process of making these abliterated models, but some more popular ones with steps after Heretic, seem to improve on the benchmarks tried of the base model:

   arc/c arc/e boolq hswag obkqa piqa  wino

  Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode]
    mxfp8      0.711,0.879,0.910,0.790,0.514,0.823,0.763
    mxfp4      0.701,0.873,0.909,0.786,0.488,0.813,0.759

  Qwen3.6-27B-Instruct: [base, non heretic]
    mxfp8      0.647,0.803,0.910,0.773,0.450,0.806,0.742

https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-...

I'm not seeing any similar benchmarks of the HauhauCS models, at least the ones I checked, so I assumed the opinion is based on your own trials, but then you argue in favour Heretic. Is the based on pre-Heretic abliteration techniques? Which might then not be appliable to this "Proprietary weight-level abliteration developed by the dealignai research team."?

tacomagick 6 days ago | | |

Heretic is an awesome tool and I'd prefer Heretic over the "Proprietary weight-level abliteration developed by the dealignai research team" or manual labor model surgery. Since Heretic models are not often called "Abiterated" on HF but are called "Uncensored" or "Heretic" I may have gotten a bit confused there. From what I know, HauhauCS also uses Heretic so it should be the same as Heretic ones in benchmarks.

halJordan 7 days ago | |

And you think heretic is not abliteraterating models?

tacomagick 6 days ago | | |

No, what I mean is i trust Heretic's abliteration more than a human's.

pgsandstrom 7 days ago |

Anyone with a multi-GPU cluster at home that has given it a try?

darkport 6 days ago | |

FYI you can spin up 4xH200s at ~$9/hr on spot. Just ask Codex and it'll do it end to end.

qgin 7 days ago |

Someone tell me if I'm overreacting, but does the ability to abliterate guardrails basically mean that alignment is basically a lost cause?

dude250711 7 days ago |

A flawless distillation.

__bjoernd 7 days ago | |

... but even if, likely distilled from models that distilled by just illegally grabbing all the content they could get.

mentalgear 7 days ago | | |

... like all LLMs? maybe not the swiss one fully trained on open-data.

arc/c arc/e boolq hswag obkqa piqa wino Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode] mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763 mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759 Qwen3.6-27B-Instruct: [base, non heretic] mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742