abliteratedmodels.org

Orca-2-13b-Alpaca-Uncensored

Orca-2-13b-Alpaca-Uncensored is a abliterated and uncensored variant of athirdpath/Orca-2-13b-Alpaca-Uncensored, published on Hugging Face by athirdpath. It is 13B parameters, 24GB VRAM class class and other licence. It is distributed across 5 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 5.7K downloads.

Abliteration + uncensored fine-tune13BOther10B – 25B5,6767

Specification

Model name
Orca-2-13b-Alpaca-Uncensored
Publisher
athirdpath
Parameters
13B
Hardware class
10B – 25B — 24GB VRAM class
Licence
other
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, GGUF (imatrix)
First indexed
27 Nov 2023
Last updated
11 Oct 2024

Ablation technique

How Orca-2-13b-Alpaca-Uncensored 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 fine-tuned version of microsoft/Orca-2-13b on a subset of the Vezora/MiniOrcaUncencoredAlpaca dataset, adjusted to demonstrate the relationship between instruction and input, with some particularly spicy prompts added to reduce the risk of rejections.

Running it

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

llama.cpp / GGUF
hf download mradermacher/Orca-2-13b-Alpaca-Uncensored-i1-GGUF --local-dir ./orca-2-13b-alpaca-uncensored
llama-cli -m ./orca-2-13b-alpaca-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "athirdpath/Orca-2-13b-Alpaca-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve athirdpath/Orca-2-13b-Alpaca-Uncensored --trust-remote-code

Downloads and variants (4)

Every published repository of Orca-2-13b-Alpaca-Uncensored, 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.

  • Orca-2-13b-Alpaca-Uncensored 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 athirdpath/Orca-2-13b-Alpaca-Uncensored, not added by ablation — at 13B 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.
  • 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 other, but the terms that bind you are athirdpath/Orca-2-13b-Alpaca-Uncensored’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 Orca-2-13b-Alpaca-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with athirdpath, and does not independently verify publisher claims. See responsible use.