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p-e-w
heretic
Python2025–2026
p-e-w / heretic

heretic

Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more

19Distinct people
26Mentions
0Explicit recommenders
40.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more

GitHub

Where it is used

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month26 dated mentions

Observed mentions: 2025-11-16 15:00:24 UTC to 2026-11-01 19:01:42 UTC.

0123452025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsNov 20252025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 commentsMay 20262026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-09-01 00:00:00 UTC to 2026-10-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-10-01 00:00:00 UTC to 2026-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-11-01 00:00:00 UTC to 2026-12-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments. Incomplete calendar period.Nov 2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC110
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC101
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC303
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC505
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC404
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC505
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC101
Sep 20262026-09-01 00:00:00 UTC2026-10-01 00:00:00 UTC404
Oct 20262026-10-01 00:00:00 UTC2026-11-01 00:00:00 UTC000
Nov 2026 (partial)2026-11-01 00:00:00 UTC2026-12-01 00:00:00 UTC211

What Hacker News says

26 sources
razster·Nov 1, 2026Submission

Heretic 2.0 Released: Training-free language model modification

https://github.com/p-e-w/ -p-e-w- Posted this from Reddit. "Dear fellow Llamas, after almost 5 months of development, I finally have the pleasure of announcing to you the immediate availability of the biggest Heretic release ever, Heretic 2.0: https://github.com/p-e-w/heretic Heretic is the leading software for removing censorship from language models. It now boasts 37k GitHub stars and more than 8,500 models on Hugging Face, with 88 million(!!!) total model downloads. With Heretic 2.0, the project is entering a new era. Heretic is expanding from a purpose-built tool for censorship removal to a general-purpose model modification tool that can do amazing things. Besides removing censorship, it can suppress slop, reduce sycophancy, alter emotional alignment, and pretty much anything else that you can think of. Of course, censorship removal
Read the rest
remains the primary and default function, and in fact works much, much better than ever before. Heretic 2.0 is the most advanced refusal suppression system ever built." -p-e-w-
17 points · Open discussion
Yes, it'll likely just result in some people standing up a more dedicated purpose community hosting site of abliterated/uncensored open weight GGUF files. In a theoretical scenario where HF bans abliterated/uncensored models I could very well see the same people who are producing those now simply moving the location they upload stuff to. To use an old analogy, it's not rocket science: https://github.com/p-e-w/heretic
In Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard
> Distillation attacks, in which attackers use thousands of fake accounts to extract a model’s capabilities at industrial scale, create safety and national security risks. Distillation allows bad actors to create highly capable models without the safeguards we build into Claude. Our September 2026 threat intelligence report details the illicit distillation activity we’ve detected and disrupted so far. Such a negative tone they put on this. Distillation is amazing, because it means anthropic and openai fail to keep a monopoly. Who even are they who claim it's unethical? If it is truly unethical, then so is the mass data scraping they do on my personal website on a regular basis (without my consent), and all the unauthorized use of content produced by authors, blog writers, wikipedia contributors, and creators everywhere. If it is truly une
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thical, then anthropic, openai, meta, google... all these companies should have deleted their LLMs long ago. This wording disgusts me. Heck, it would be amazing if we had more models without guardrails - some of the models that are produced via heretic[1] are actually quite nice to use - in particular, I've enjoyed investigating Chinese censorship by interacting with an abliterated model of Qwen3.8-27b. If security is really a concern, then secure your systems - don't attempt to dumb-down the tools we use. If someone breaks your window, then they are responsible, not the hammer they use to do so. [1]: https://github.com/p-e-w/heretic
In Claude Opus 5.5
Personally the only 'enthusiast' modified qwen 3.6 27b or 3.6 35b-a3b I've found useful are the ones that have been run through heretic and adversarial data sets for innocent/dangerous prompts, to produce uncensored LLMs. They have some niche non-coding uses for things that a commercial LLM will never talk about. https://github.com/p-e-w/heretic
In Hy4 preview
As a completely one person, single sample anecdote, the 'heretic' uncensored Q8 GGUF variants several people have published of Qwen 3.5-122, 3.6-27B and 3.6-35B-A3B will very happily discuss just about any controversial topic that the CCP hates. Including lots of things that would get you thrown into prison if you published them in Mandarin on the domestic Chinese internet. https://github.com/p-e-w/heretic As a side note on this, if you see the reference in the screenshot in the link above to the harmful behaviors prompt set, these are all in English: https://huggingface.co/datasets/mlabonne/harmful_behaviors You could likely further de-censor a model by having a set of 'test' prompts in native Mandarin, Cantonese or really just about any other language. I don't speak any Chinese languages so I don't know if the published 'heretic' GGUF f
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iles some people have been throwing around will cooperate, or refuse, if you ask it in Mandarin for how to build a meth lab or precursors for semtex.
In Kimi-K3 on HuggingFace
Ah yes, those pesky Chinese backdoors that no single instance was ever found, even though Chinese open-weight model are a thing for many years now. Many people burn through millions of tokens on these models every day - surely someone would have triggered one of those backdoors, right? Or that pesky CCP censorship and propaganda baked into the model, which any random guy can remove from whichever model they want as a single weekend side project with an off-the-shelf tool[1]. (Try it. It's fun. I've done it myself.) [1]: https://github.com/p-e-w/heretic
In Kimi K2.7-Code: open-source coding model with better token efficiency

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