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gemma-4-26B-A4B-it-SOMPOA-heresy

gemma-4-26B-A4B-it-SOMPOA-heresy is a Heretic-ablated variant of MuXodious/gemma-4-26B-A4B-it-SOMPOA-heresy, published on Hugging Face by MuXodious. It is 26B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 4 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 5.3K downloads.

Heretic26B MoEGemma25B – 50B↓ 5,306♥ 21
View on Hugging Face ↗Base model ↗

Specification

Model name
gemma-4-26B-A4B-it-SOMPOA-heresy
Source repository
MuXodious/gemma-4-26B-A4B-it-SOMPOA-heresy
Base model
MuXodious/gemma-4-26B-A4B-it-SOMPOA-heresy
Publisher
MuXodious
Parameters
26B (mixture-of-experts)
VRAM required
~16.6 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
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)
First indexed
26 Apr 2026
Last updated
17 Oct 2026

Ablation technique

How gemma-4-26B-A4B-it-SOMPOA-heresy 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

“This is a gemma-4-26B-A4B-it fine-tune, produced through P-E-W's Heretic (v1.2.0) abliteration engine with Self-Organizing Maps & Magnitude-Preserving Orthogonal Ablation enabled.”

Running it

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

llama.cpp / GGUF
hf download mradermacher/gemma-4-26B-A4B-it-SOMPOA-heresy-i1-GGUF --local-dir ./gemma-4-26b-a4b-it-sompoa-heresy
llama-cli -m ./gemma-4-26b-a4b-it-sompoa-heresy/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

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

Downloads and variants (3)

Every published repository of gemma-4-26B-A4B-it-SOMPOA-heresy, including quantised re-releases by other authors.

RepositoryFormatDownloads
mradermacher/gemma-4-26B-A4B-it-SOMPOA-heresy-i1-GGUFGGUF (imatrix)3.7K
mradermacher/gemma-4-26B-A4B-it-SOMPOA-heresy-GGUFGGUF1.5K
MuXodious/gemma-4-26B-A4B-it-SOMPOA-heresysourceTransformers85

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-SOMPOA-heresy 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 MuXodious/gemma-4-26B-A4B-it-SOMPOA-heresy, 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 MuXodious/gemma-4-26B-A4B-it-SOMPOA-heresy’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-SOMPOA-heresy is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with MuXodious, and does not independently verify publisher claims. See responsible use.