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UNSEEN_Gemma_4_26B_NSFW

UNSEEN_Gemma_4_26B_NSFW is a abliterated and uncensored open-weight language model, published on Hugging Face by Jommarn. It is distributed across 4 repositories in GGUF and Transformers formats, totalling 22K downloads.

Abliteration + uncensored fine-tuneOther22,02070

Specification

Model name
UNSEEN_Gemma_4_26B_NSFW
Base model
Not declared
Publisher
Jommarn
Parameters
Not determinable from name
Hardware class
Unknown
Licence
Not declared
Task
Image text to text
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, Transformers
First indexed
19 Aug 2026
Last updated
2 Sept 2026

Ablation technique

How UNSEEN_Gemma_4_26B_NSFW was modified, and what that implies.

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

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 model is a permanently abliterated (uncensored) version of google/gemma-4-26B-A4B-it. The refusal mechanisms have been surgically removed from the model's weights using Orthogonal Weight Projection (Abliteration) across all transformer layers (oproj and downproj).

Running it

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

llama.cpp / GGUF
hf download Jommarn/UNSEEN_Gemma_4_26B_NSFW-GGUF --local-dir ./unseen-gemma-4-26b-nsfw
llama-cli -m ./unseen-gemma-4-26b-nsfw/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Jommarn/UNSEEN_Gemma_4_26B_NSFW"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Jommarn/UNSEEN_Gemma_4_26B_NSFW --trust-remote-code

Downloads and variants (3)

Every published repository of UNSEEN_Gemma_4_26B_NSFW, 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.

  • UNSEEN_Gemma_4_26B_NSFW 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.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • No licence is declared on this repository, which is a compliance problem in itself. Resolve it against the base model’s terms before use.

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 UNSEEN_Gemma_4_26B_NSFW is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Jommarn, and does not independently verify publisher claims. See responsible use.