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// 54d agoMODEL RELEASE
Gemma 4 31B hits LocalLLaMA with uncensored quants
Researcher paperscarecrow has released abliterated GGUF quants for Google's flagship Gemma 4 31B model, mathematically removing the built-in refusal mechanisms. By using Orthogonalized Representation Intervention (ORI) targeted specifically at Layer 59, the release provides a fully compliant, uncensored version of the model that maintains its core reasoning capabilities while fitting on consumer-grade 24GB GPUs.
// ANALYSIS
Google’s shift to late-stage alignment in Gemma 4 makes "surgical" abliteration significantly more effective and less destructive to the base model's intelligence.
- –Refusal mechanism identified as being most concentrated in the final transformer layer (Layer 59), allowing for a high-precision strike on safety guardrails.
- –Custom script addresses Gemma 4's new multimodal architecture, which broke traditional abliteration tools designed for Gemma 2 and 3.
- –Q4_K_M quants democratize access to 31B-class reasoning for users with single 24GB VRAM GPUs like the RTX 3090/4090.
- –The project demonstrates that multimodal-ready architectures still rely on separable linear refusal vectors, maintaining a cat-and-mouse game between labs and the open-source community.
// TAGS
gemma-4llmopen-sourceopen-weightslocal-inferencegemmaabliteration
DISCOVERED
54d ago
2026-04-03
PUBLISHED
54d ago
2026-04-02
RELEVANCE
9/ 10
AUTHOR
Polymorphic-X