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Moss-image-nsfw-uncensored-lora

Moss-image-nsfw-uncensored-lora is a abliterated and uncensored variant of OpenMOSS-Team/MOSS-Image-SFT, published on Hugging Face by axiomofmind. It is apache-2.0 licence. It is distributed across 20 repositories in Transformers and GGUF formats, totalling 83.7K downloads.

Abliteration + uncensored fine-tuneOther↓ 83,711♥ 647

Specification

Model name
Moss-image-nsfw-uncensored-lora
Publisher
axiomofmind
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
apache-2.0
Task
Text to image
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF
First indexed
18 Oct 2026
Last updated
2 Nov 2026

Ablation technique

How Moss-image-nsfw-uncensored-lora 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

“An adult photographic-content LoRA for MOSS-Image-SFT or MOSS-Image-Base, with MOSS-Image-SFT preferred for inference. It is tuned for explicit adult portraiture, nude poses, indoor scenes, and close photographic compositions.”

Running it

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

llama.cpp / GGUF
hf download axiomofmind/Moss-image-nsfw-uncensored-lora-GGUF --local-dir ./moss-image-nsfw-uncensored-lora
llama-cli -m ./moss-image-nsfw-uncensored-lora/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "axiomofmind/Moss-image-nsfw-uncensored-lora"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve axiomofmind/Moss-image-nsfw-uncensored-lora --trust-remote-code

Downloads and variants (19)

Every published repository of Moss-image-nsfw-uncensored-lora, 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.

  • Moss-image-nsfw-uncensored-lora 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.
  • Declared licence is apache-2.0, but the terms that bind you are OpenMOSS-Team/MOSS-Image-SFT’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 Moss-image-nsfw-uncensored-lora is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with axiomofmind, and does not independently verify publisher claims. See responsible use.