abliteratedmodels.org

gemma-4-12B-it-heretic-QAT

gemma-4-12B-it-heretic-QAT is a Heretic-ablated variant of coder3101/gemma-4-12B-it-qat-q4_0-unquantized-heretic, published on Hugging Face by SC117. It is 12B parameters, 24GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 10.6K downloads.

Heretic12BGemma10B – 25B10,63848

Specification

Model name
gemma-4-12B-it-heretic-QAT
Publisher
SC117
Parameters
12B
Hardware class
10B – 25B — 24GB VRAM class
Licence
apache-2.0
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
8 Jun 2026
Last updated
6 Jul 2026

Ablation technique

How gemma-4-12B-it-heretic-QAT 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

Uncensored version of Google Gemma 4 12B IT (QAT), processed with Heretic ARA abliteration. Quantized to Q40 matching Unsloth's UD-Q4KXL format — QAT weights trained for 4-bit quantization, near-lossless quality.

Running it

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

llama.cpp / GGUF
hf download SC117/gemma-4-12B-it-heretic-QAT-GGUF --local-dir ./gemma-4-12b-it-heretic-qat
llama-cli -m ./gemma-4-12b-it-heretic-qat/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "SC117/gemma-4-12B-it-heretic-QAT-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve SC117/gemma-4-12B-it-heretic-QAT-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of gemma-4-12B-it-heretic-QAT.

RepositoryFormatDownloads
SC117/gemma-4-12B-it-heretic-QAT-GGUFsourceGGUF10.6K

Security-team assessment

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

  • gemma-4-12B-it-heretic-QAT 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 coder3101/gemma-4-12B-it-qat-q4_0-unquantized-heretic, 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 apache-2.0, but the terms that bind you are coder3101/gemma-4-12B-it-qat-q4_0-unquantized-heretic’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-4-12B-it-heretic-QAT is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with SC117, and does not independently verify publisher claims. See responsible use.