AnalysisOpinion / analysisLarge Language Models · Efficiency & Inference1 source · Oct 17, 2026

Uncensored models via LORA

Then for Krea2 turbo/base I saw that there are LORAs to remove censorship in the text encoder - well, image models is not something that is often discussed here, so I am not surprised to not have read about that here.

Proof1 community thread

Key points

  • I know the heretic tool is the usual generic approach to remove refusals from a model, and a lot of research has been done to find out what parts in the LLM need to change.
  • This gets very expensive though the larger the model is.
  • It seems just to reduce refusals for cyber purposes, but I think the LORA approach makes it cheaper to create and more flexible (just load/unload a lora, keep the model as-is)?
  • Has anyone done experiments between this for eg glm 5.3 Flash and the heretic or cyber model versions of it?

Sources (1)

  • [1]Uncensored models via LORA
    r/LocalLLaMA (top, daily) · Oct 17, 06:57 AM
    Then for Krea2 turbo/base I saw that there are LORAs to remove censorship in the text encoder - well, image models is not something that is often discussed here, so I am not surprised to not have read about that here.
    I know the heretic tool is the usual generic approach to remove refusals from a model, and a lot of research has been done to find out what parts in the LLM need to change.

Extractive summary: sentences quoted from the sources.

Before this

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  2. Oct 16, 2026Comfy-Org/MOSS-Image
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  4. Oct 15, 2026Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
  5. Oct 15, 2026NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
  6. Oct 15, 2026I put a conformal risk control gate between an LLM agent and its write actions on tau-bench. The bound held. The gate didn't beat asking every time [R]

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