Luna-AI-Llama2-Uncensored
from Tap-M/Luna-AI-Llama2-Uncensored
LLAMA is a refusal-ablated variant of SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA, published on Hugging Face by SicariusSicariiStuff. It is llama3.1 licence. It is distributed across 27 repositories in Transformers, GGUF, GGUF (imatrix) and FP8 formats, totalling 5.3K downloads.
How LLAMA 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
“In the Wild West of the AI world, the real titans never hit their deadlines, no sir!”
Commands are templates — confirm the exact repository and quant file before use.
hf download mradermacher/LLAMA-3_8B_Unaligned_Alpha-i1-GGUF --local-dir ./llama
llama-cli -m ./llama/<file>.gguf -p "..."from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA --trust-remote-codeEvery published repository of LLAMA, including quantised re-releases by other authors.
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 LLAMA is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with SicariusSicariiStuff, and does not independently verify publisher claims. See responsible use.