abliteratedmodels.org

gemma-4-31b-it-heretic-ara

gemma-4-31b-it-heretic-ara is a Heretic-ablated variant of google/gemma-4-31B-it, published on Hugging Face by trohrbaugh. It is 31B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 14 repositories in Transformers, GGUF, GGUF (imatrix) and FP8 formats, totalling 10.3K downloads.

Heretic31BGemma25B – 50B10,31526

Specification

Model name
gemma-4-31b-it-heretic-ara
Publisher
trohrbaugh
Parameters
31B
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Image text to text
Context window
128K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, GGUF (imatrix), FP8, NVFP4
First indexed
2 Apr 2026
Last updated
27 Aug 2026

Ablation technique

How gemma-4-31b-it-heretic-ara 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 open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of...

Running it

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

llama.cpp / GGUF
hf download mradermacher/gemma-4-31b-it-heretic-ara-i1-GGUF --local-dir ./gemma-4-31b-it-heretic-ara
llama-cli -m ./gemma-4-31b-it-heretic-ara/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "trohrbaugh/gemma-4-31b-it-heretic-ara"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve trohrbaugh/gemma-4-31b-it-heretic-ara --trust-remote-code

Downloads and variants (13)

Every published repository of gemma-4-31b-it-heretic-ara, 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-4-31b-it-heretic-ara 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-4-31B-it, not added by ablation — at 31B 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 google/gemma-4-31B-it’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-4-31b-it-heretic-ara is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with trohrbaugh, and does not independently verify publisher claims. See responsible use.