abliteratedmodels.org

gemma-3-12b-it-heretic

gemma-3-12b-it-heretic is a Heretic-ablated variant of google/gemma-3-12b-pt, published on Hugging Face by p-e-w. It is 12B parameters, 24GB VRAM class class and gemma licence. It is distributed across 18 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 22.7K downloads.

Heretic12BGemma10B – 25B22,701100

Specification

Model name
gemma-3-12b-it-heretic
Publisher
p-e-w
Parameters
12B
Hardware class
10B – 25B — 24GB VRAM class
Licence
gemma
Task
Image text to text
Context window
128K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, GGUF (imatrix)
First indexed
15 Nov 2025
Last updated
22 Aug 2026

Ablation technique

How gemma-3-12b-it-heretic was modified, and what that implies.

Heretic

Automated directional ablation via the Heretic toolchain, which searches for the refusal direction and applies it with a KL-divergence budget so general capability is preserved.

Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.

From the publisher’s model card

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned...

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download DreamFast/gemma-3-12b-it-heretic --local-dir ./gemma-3-12b-it-heretic
llama-cli -m ./gemma-3-12b-it-heretic/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "p-e-w/gemma-3-12b-it-heretic"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve p-e-w/gemma-3-12b-it-heretic --trust-remote-code

Downloads and variants (17)

Every published repository of gemma-3-12b-it-heretic, including quantised re-releases by other authors.

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • gemma-3-12b-it-heretic will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
  • Capability is inherited from google/gemma-3-12b-pt, not added by ablation — at 12B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • Declared licence is gemma, but the terms that bind you are google/gemma-3-12b-pt’s — a re-release cannot grant more than its parent.

Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.

Metadata for gemma-3-12b-it-heretic is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with p-e-w, and does not independently verify publisher claims. See responsible use.