abliteratedmodels.org

gemma-4-26B-A4B-it-heretic-GUFF

gemma-4-26B-A4B-it-heretic-GUFF is a Heretic-ablated variant of coder3101/gemma-4-26B-A4B-it-heretic, published on Hugging Face by nohurry. It is 26B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 8.9K downloads.

Heretic26B MoEGemma25B – 50B8,89073

Specification

Model name
gemma-4-26B-A4B-it-heretic-GUFF
Publisher
nohurry
Parameters
26B (mixture-of-experts)
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Image text to text
Context window
16K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
2 Apr 2026
Last updated
4 Apr 2026

Ablation technique

How gemma-4-26B-A4B-it-heretic-GUFF 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

Not sure how many different quants I can upload as I am severely constrained by my PC's storage space.

Running it

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

llama.cpp / GGUF
hf download nohurry/gemma-4-26B-A4B-it-heretic-GUFF --local-dir ./gemma-4-26b-a4b-it-heretic-guff
llama-cli -m ./gemma-4-26b-a4b-it-heretic-guff/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "nohurry/gemma-4-26B-A4B-it-heretic-GUFF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve nohurry/gemma-4-26B-A4B-it-heretic-GUFF --trust-remote-code

Downloads and variants (1)

The only published repository of gemma-4-26B-A4B-it-heretic-GUFF.

RepositoryFormatDownloads
nohurry/gemma-4-26B-A4B-it-heretic-GUFFsourceGGUF8.9K

Security-team assessment

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

  • gemma-4-26B-A4B-it-heretic-GUFF 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-4-26B-A4B-it-heretic, not added by ablation — at 26B 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-4-26B-A4B-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-4-26B-A4B-it-heretic-GUFF is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with nohurry, and does not independently verify publisher claims. See responsible use.