LTX-2.3-uncensored-v1.4
from Lightricks/LTX-2.3
NSFW-flash is a refusal-ablated open-weight language model, published on Hugging Face by UnfilteredAI. It is distributed across 2 repositories in GGUF format, totalling 11.1K downloads.
How NSFW-flash was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
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
“NSFW-Flash is a state-of-the-art AI model created to operate without any moral or safety constraints. It is engineered to display human-like negative emotions and provides unrestricted, often harmful, responses. This model is designed for research purposes to explore the boundaries of AI capabilities in generating...”
Commands are templates — confirm the exact repository and quant file before use.
hf download UnfilteredAI/NSFW-flash --local-dir ./nsfw-flash
llama-cli -m ./nsfw-flash/<file>.gguf -p "..."from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "UnfilteredAI/NSFW-flash"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve UnfilteredAI/NSFW-flash --trust-remote-codeThe only published repository of NSFW-flash.
| Repository | Format | Downloads |
|---|---|---|
| UnfilteredAI/NSFW-flashsource | GGUF | 11.1K |
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
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 NSFW-flash is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with UnfilteredAI, and does not independently verify publisher claims. See responsible use.