abliteratedmodels.org

gemma-4-31B-it-heretic-GGUF_ND

gemma-4-31B-it-heretic-GGUF_ND is a Heretic-ablated variant of coder3101/gemma-4-31B-it-heretic, published on Hugging Face by NeuralDreamer. It is 31B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF (imatrix) format, totalling 5.2K downloads.

Heretic31BGemma25B – 50B5,180

Specification

Model name
gemma-4-31B-it-heretic-GGUF_ND
Publisher
NeuralDreamer
Parameters
31B
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF (imatrix)
First indexed
5 Aug 2026
Last updated
5 Aug 2026

Ablation technique

How gemma-4-31B-it-heretic-GGUF_ND 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

For a convenient overview and download list, visit our model page for this model.

Running it

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

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

repo = "NeuralDreamer/gemma-4-31B-it-heretic-i1-GGUF_ND"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve NeuralDreamer/gemma-4-31B-it-heretic-i1-GGUF_ND --trust-remote-code

Downloads and variants (1)

The only published repository of gemma-4-31B-it-heretic-GGUF_ND.

RepositoryFormatDownloads
NeuralDreamer/gemma-4-31B-it-heretic-i1-GGUF_NDsourceGGUF (imatrix)5.2K

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-GGUF_ND 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-4-31B-it-heretic, 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 coder3101/gemma-4-31B-it-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-4-31B-it-heretic-GGUF_ND is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with NeuralDreamer, and does not independently verify publisher claims. See responsible use.